Image Classification with the Fisher Vector: Theory and Practice

ImageNet classification with deep convolutional neural networks

Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017) · Communications of the ACM · doi:10.1145/3065386 · Cited by 112,155

ImageNet: A large-scale hierarchical image database

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Distinctive Image Features from Scale-Invariant Keypoints

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The pascal visual object classes (VOC) challenge

Everingham, M., Van Gool, L., Williams, C. K. I., Winn, J., & Zisserman, A. (2010) · International Journal of Computer Vision · doi:10.1007/s11263-009-0275-4 · Cited by 19,599

Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories

Lazebnik, S., Schmid, C., & Ponce, J. (2006) · 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06) · doi:10.1109/cvpr.2006.68 · Cited by 7,916

The Pascal Visual Object Classes Challenge: A Retrospective

Everingham, M., Eslami, S. M. A., Van Gool, L., Williams, C. K. I., Winn, J., & Zisserman, A. (2015) · International Journal of Computer Vision · doi:10.1007/s11263-014-0733-5 · Cited by 7,139

Video Google: a text retrieval approach to object matching in videos

Sivic, & Zisserman (2003) · Proceedings Ninth IEEE International Conference on Computer Vision · doi:10.1109/iccv.2003.1238663 · Cited by 6,367

Visual categorization with bags of keypoints

Csurka, G. (2004) · Cited by 4,379

SUN database: Large-scale scene recognition from abbey to zoo

Xiao, J., Hays, J., Ehinger, K. A., Oliva, A., & Torralba, A. (2010) · 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2010.5539970 · Cited by 3,283

Locality-constrained Linear Coding for image classification

Wang, J., Yang, J., Yu, K., Lv, F., Huang, T., & Gong, Y. (2010) · 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2010.5540018 · Cited by 3,100

The impact of visual attributes on online image diffusion

Totti, L., Costa, F. A., Avila, S., Junior, E. A. D. V., Meira, W., & Almeida, V. A. F. (2014) · ACM Web Science Conference (WebSci) · doi:10.1145/2615569.2615700 · Cited by 48

Automatic identification of cattle using muzzle point pattern: a hybrid feature extraction and classification paradigm

Kumar, S., & Singh, S. K. (2016) · Multimedia Tools and Applications · doi:10.1007/s11042-016-4181-9 · Cited by 48

AMVH: Asymmetric Multi-Valued hashing

Da, C., Xu, S., Ding, K., Meng, G., Xiang, S., & Pan, C. (2017) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2017.102 · Cited by 48

Nazr-CNN: Fine-Grained Classification of UAV Imagery for Damage Assessment

Attari, N., Ofli, F., Awad, M. A., Lucas, J., & Chawla, S. (2017) · IEEE International Conference on Data Science and Advanced Analytics (DSAA) · doi:10.1109/dsaa.2017.72 · Cited by 48

Writer identification using VLAD encoded contour-Zernike moments

Christlein, V., Bernecker, D., & Angelopoulou, E. (2015) · IAPR International Conference on Document Analysis and Recognition (ICDAR) · doi:10.1109/icdar.2015.7333893 · Cited by 47

Multiview Label Sharing for Visual Representations and Classifications

Zhang, C., Cheng, J., & Tian, Q. (2017) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2017.2759500 · Cited by 47

ML-HDP: A Hierarchical Bayesian Nonparametric Model for Recognizing Human Actions in Video

Tu, N. A., Huynh‐The, T., Khan, K. U., & Lee, Y.-K. (2018) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2018.2816960 · Cited by 47

Acute Lymphoblastic Leukemia Detection from Microscopic Images Using Weighted Ensemble of Convolutional Neural NetworksPreprint

Mondal, C., Hasan, M. K., Jawad, M. T., Dutta, A., Islam, M. R., Awal, M. A., Ahmad, M., Alyami, S. A., & Moni, M. A. (2021) · Preprints.org · doi:10.20944/preprints202105.0429.v1 · Cited by 53

Scalable Multitask Representation Learning for Scene Classification

Lapin, M., Schiele, B., & Hein, M. (2014) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2014.186 · Cited by 46

Hierarchical Gaussian Descriptors with Application to Person Re-Identification

Matsukawa, T., Okabe, T., Suzuki, E., & Sato, Y. (2019) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2019.2914686 · Cited by 46

Plant leaf identification based on shape and convolutional features

Wu, H., Fang, L., Yu, Q., Yuan, J., & Yang, C. (2023) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.119626 · Cited by 46

Compact Representation for Image Classification: To Choose or to Compress?

Zhang, Y., Wu, J., & Cai, J. (2014) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2014.121 · Cited by 47

Orientational Pyramid Matching for Recognizing Indoor Scenes

Xie, L., Wang, J., Guo, B., Zhang, B., & Tian, Q. (2014) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2014.477 · Cited by 45

Prospects for Theranostics in Neurosurgical Imaging: Empowering Confocal Laser Endomicroscopy Diagnostics via Deep Learning

Izadyyazdanabadi, M., Belykh, E., Mooney, M. A., Eschbacher, J. M., Nakaji, P., Yang, Y., & Preul, M. C. (2018) · Frontiers in Oncology · doi:10.3389/fonc.2018.00240 · Cited by 45

Generating Video Descriptions With Latent Topic Guidance

Chen, S., Jin, Q., Chen, J., & Hauptmann, A. G. (2019) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2019.2896515 · Cited by 47

A Width-growth Model with Subnetwork Nodes and Refinement Structure for Representation Learning and Image Classification

Zhang, W., Wu, Q. M. J., Yang, Y., Akilan, T., & Zhang, H. (2020) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2020.2983749 · Cited by 45

Contrastive Explanations In Neural Networks

Prabhushankar, M., Kwon, G., Temel, D., & AlRegib, G. (2020) · Proceedings - International Conference on Image Processing · doi:10.1109/icip40778.2020.9190927 · Cited by 47

Top-k Multiclass SVMPreprint

Lapin, M., Hein, M., & Schiele, B. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1511.06683 · Cited by 45

Ground Truth Data, Content, Metrics, and Analysis

Krig, S. (2014) · Apress eBooks · doi:10.1007/978-1-4302-5930-5_7 · Cited by 48

A novel feature extraction method for scene recognition based on Centered Convolutional Restricted Boltzmann Machines

Gao, J., Yang, J., Wang, G., & Li, M. (2016) · Neurocomputing · doi:10.1016/j.neucom.2016.06.055 · Cited by 44

ASK: Adaptively Selecting Key Local Features for RGB-D Scene Recognition

Xiong, Z., Yuan, Y., & Wang, Q. (2021) · IEEE Transactions on Image Processing · doi:10.1109/tip.2021.3053459 · Cited by 44

SSA-ICL: Multi-domain adaptive attention with intra-dataset continual learning for Facial expression recognition

Gao, H., Wu, M., Chen, Z., Li, Y., Wang, X., An, S., Li, J., & Liu, C. (2022) · Neural Networks · doi:10.1016/j.neunet.2022.11.025 · Cited by 48

Discriminative human action classification using locality-constrained linear coding

Rahmani, H., Huynh, D. Q., Mahmood, A., & Mian, A. S. (2015) · Pattern Recognition Letters · doi:10.1016/j.patrec.2015.07.015 · Cited by 44

Automatic Recognition of Fetal Facial Standard Plane in Ultrasound Image via Fisher Vector

Lei, B., Tan, E.-L., Chen, S., Zhuo, L., Li, S., Ni, D., & Wang, T. (2015) · PLOS ONE · doi:10.1371/journal.pone.0121838 · Cited by 43

A novel hybrid approach for severity assessment of Diabetic Retinopathy in colour fundus images

Roy, P. K., Tennakoon, R., Cao, K., Sedai, S., Mahapatra, D., Maetschke, S., & Garnavi, R. (2017) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi.2017.7950703 · Cited by 43

Content based medical image retrieval using topic and location model

Shamna, P., Govindan, V. K., & Nazeer, K. A. A. (2019) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2019.103112 · Cited by 43

Deep Spatial Pyramid: The Devil is Once Again in the DetailsPreprint

Gao, B.-B., Wei, X.-S., Wu, J., & Lin, W. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1504.05277 · Cited by 43

mCLOUD: A Multiview Visual Feature Extraction Mechanism for Ground-Based Cloud Image Categorization

Xiao, Y., Cao, Z., Zhuo, W., Ye, L., & Zhu, L. (2015) · Journal of Atmospheric and Oceanic Technology · doi:10.1175/jtech-d-15-0015.1 · Cited by 43

Image features for pixel-wise detection of solar photovoltaic arrays in aerial imagery using a random forest classifier

Malof, J. M., Bradbury, K., Collins, L. M., Newell, R. G., Serrano, A., Wu, H., & Keene, S. M. (2016) · International Conference on Renewable Energy Research and Applications (ICRERA) · doi:10.1109/icrera.2016.7884446 · Cited by 42

Content-based medical image retrieval by spatial matching of visual words

Shamna, P., Govindan, V. K., & Nazeer, K. A. A. (2018) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2018.10.002 · Cited by 42

Regional-Based Object Detection Using Polarization and Fisher Vectors in Passive Millimeter-Wave Imaging

Cheng, Y., Tian, X., Zhu, D., Wu, L., Zhang, L., Qi, J., & Qiu, J. (2022) · IEEE Transactions on Microwave Theory and Techniques · doi:10.1109/tmtt.2022.3230940 · Cited by 42

SRSC: Selective, Robust, and Supervised Constrained Feature Representation for Image Classification

Xie, G.-S., Zhang, Z., Liu, L., Zhu, F., Zhang, X.-Y., Shao, L., & Li, X. (2019) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2019.2953675 · Cited by 41

Automatic Food Recognition Using Deep Convolutional Neural Networks with Self-attention Mechanism

Abiyev, R. H., & Adepoju, J. (2024) · Human-Centric Intelligent Systems · doi:10.1007/s44230-023-00057-9 · Cited by 49

From dictionary of visual words to subspaces: Locality-constrained affine subspace coding

Li, P., Lu, X., & Wang, Q. (2015) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2015.7298848 · Cited by 41

Fisher Encoded Convolutional Bag-of-Windows for Efficient Image Retrieval and Social Image Tagging

Uricchio, T., Bertini, M., Seidenari, L., & Bimbo, A. D. (2015) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw.2015.134 · Cited by 41

Trajectory-Pooled Deep Convolutional Networks for Violence Detection in Videos

Meng, Z., Yuan, J., & Li, Z. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-68345-4_39 · Cited by 42

Label-Efficient Learning on Point Clouds Using Approximate Convex Decompositions

Gadelha, M., RoyChowdhury, A., Sharma, G., Kalogerakis, E., Cao, L., Miller, E. G., Wang, R., & Maji, S. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-58607-2_28 · Cited by 44

An embedded deep learning system for augmented reality in firefighting applications

Bhattarai, M., Jensen-Curtis, A. R., & Martínez‐Ramón, M. (2020) · International Conference on Machine Learning and Applications · doi:10.1109/icmla51294.2020.00193 · Cited by 43

Multi-scale Sparse Network with Cross-Attention Mechanism for image-based butterflies fine-grained classification

Li, M., Zhou, G., Cai, W., Li, J., Li, M., He, M., Hu, Y., & Li, L. (2022) · Applied Soft Computing · doi:10.1016/j.asoc.2022.108419 · Cited by 40

Fine-residual VLAD for image retrieval

Liu, Z., Wang, S., & Tian, Q. (2015) · Neurocomputing · doi:10.1016/j.neucom.2015.08.076 · Cited by 40

Capturing correlations of local features for image representation

Hong, X., Zhao, G., Zafeiriou, S. P., Pantić, M., & Pietikäinen, M. (2015) · Neurocomputing · doi:10.1016/j.neucom.2015.07.134 · Cited by 41

Person Re-Identification over Encrypted Outsourced Surveillance Videos

Cheng, H., Wang, H., Liu, X., Yan, F., Wang, M., & Zhang, X. (2019) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2019.2923653 · Cited by 40

Unsupervised feature learning with C-SVDDNet

Wang, D., & Tan, X. (2016) · Pattern Recognition · doi:10.1016/j.patcog.2016.06.001 · Cited by 44

Vision-based approaches towards person identification using gait

Khan, M. H., Farid, M. S., & Grzegorzek, M. (2021) · Computer Science Review · doi:10.1016/j.cosrev.2021.100432 · Cited by 40

MSA-YOLOv5: Multi-scale attention-based YOLOv5 for automatic detection of acute ischemic stroke from multi-modality MRI images

Chen, S., Duan, J., Zhang, N., Qi, M., Li, J., Wang, H., Wang, R., Ju, R., Duan, Y., & Qi, S. (2023) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2023.107471 · Cited by 40

Attributes Make Sense on Segmented Objects

Li, Z., Gavves, E., Mensink, T., & Snoek, C. G. M. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-10599-4_23 · Cited by 39

Conceptlets: Selective Semantics for Classifying Video Events

Mazloom, M., Gavves, E., & Snoek, C. G. M. (2014) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2014.2359771 · Cited by 38

Training DCNN by Combining Max-Margin, Max-Correlation Objectives, and Correntropy Loss for Multilabel Image Classification

Shi, W., Gong, Y., Tao, X., & Zheng, N. (2017) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2017.2705222 · Cited by 41

Long-Term Person Re-identification Using True Motion from Videos

Zhang, P., Wu, Q., Xu, J., & Zhang, J. (2018) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv.2018.00060 · Cited by 38

RS-DARTS: A Convolutional Neural Architecture Search for Remote Sensing Image Scene Classification

Zhang, Z., Liu, S., Zhang, Y., & Chen, W. (2021) · Remote Sensing · doi:10.3390/rs14010141 · Cited by 39

Adaptive Metric Learning for Saliency Detection

Li, S., Lu, H., Lin, Z., Shen, X., & Price, B. L. (2015) · IEEE Transactions on Image Processing · doi:10.1109/tip.2015.2440755 · Cited by 38

A novel locally linear KNN model for visual recognition

Liu, Q., & Liu, C. (2015) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2015.7298738 · Cited by 38

Contextual Exemplar Classifier-Based Image Representation for Classification

Zhang, C., Huang, Q., & Tian, Q. (2016) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2016.2527380 · Cited by 38

Sequence searching with CNN features for robust and fast visual place recognition

Bai, D., Wang, C., Zhang, B., Yi, X., & Yang, X. (2017) · Computers & Graphics · doi:10.1016/j.cag.2017.07.019 · Cited by 37

Structured Weak Semantic Space Construction for Visual Categorization

Zhang, C., Cheng, J., & Tian, Q. (2017) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2017.2728060 · Cited by 38

Spatiotemporal features of human motion for gait recognition

Khan, M. H., Farid, M. S., & Grzegorzek, M. (2018) · Signal Image and Video Processing · doi:10.1007/s11760-018-1365-y · Cited by 38

A non-linear view transformations model for cross-view gait recognition

Khan, M. H., Farid, M. S., & Grzegorzek, M. (2020) · Neurocomputing · doi:10.1016/j.neucom.2020.03.101 · Cited by 38

Patch Based Video Summarization With Block Sparse Representation

Mei, S., Ma, M., Wan, S., Hou, J., Wang, Z., & Feng, D. D. (2020) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2020.2987683 · Cited by 38

DPDist: Comparing Point Clouds Using Deep Point Cloud Distance

Urbach, D., Ben-Shabat, Y., & Lindenbaum, M. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-58621-8_32 · Cited by 38

Robust bag classification approach for multi-instance learning via subspace fuzzy clustering

Waqas, M., Tahir, M. A., & Khan, S. A. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.119113 · Cited by 37

3D-Assisted Feature Synthesis for Novel Views of an Object

Su, H., Wang, F., Yi, E., & Guibas, L. J. (2015) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.307 · Cited by 39

Estimating Snow Cover From Publicly Available Images

Fedorov, R., Camerada, A., Fraternali, P., & Tagliasacchi, M. (2016) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2016.2535356 · Cited by 37

Attributes and categories for generic instance search from one example

Ran, T., Smeulders, A. W. M., & Chang, S. (2015) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2015.7298613 · Cited by 37

Hierarchical projective invariant contexts for shape recognition

Jia, Q., Fan, X., Liu, Y., Li, H., Luo, Z., & Guo, H. (2015) · Pattern Recognition · doi:10.1016/j.patcog.2015.11.003 · Cited by 37

Image Class Prediction by Joint Object, Context, and Background Modeling

Zhang, C., Zhu, G., Liang, C., Zhang, Y., Huang, Q., & Tian, Q. (2016) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2016.2613125 · Cited by 37

Compact CNN Based Video Representation for Efficient Video Copy Detection

Wang, L. E., Bao, Y., Li, H., Fan, X., & Luo, Z. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-51811-4_47 · Cited by 37

Automated Screening for Bipolar Disorder from Audio/Visual Modalities

Syed, Z. S., Sidorov, K. A., & Marshall, D. (2018) · doi:10.1145/3266302.3266315 · Cited by 34

KidsGUARD

Singh, S. K., Kaushal, R., Buduru, A. B., & Kumaraguru, P. (2019) · ACM Symposium on Applied Computing · doi:10.1145/3297280.3297487 · Cited by 38

Detection of Malicious Activities in Internet of Things Environment Based on Binary Visualization and Machine Intelligence

Naeem, H. (2019) · Wireless Personal Communications · doi:10.1007/s11277-019-06540-6 · Cited by 37

PM-GANs: Discriminative Representation Learning for Action Recognition Using Partial-Modalities

Wang, L., Gao, C., Yang, L., Zhao, Y., Zuo, W., & Meng, D. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-01231-1_24 · Cited by 37

Hierarchical Coding of Convolutional Features for Scene Recognition

Xie, L., Lee, F., Liu, L., Yin, Z., & Chen, Q. (2019) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2019.2942478 · Cited by 37

Circulant Temporal Encoding for Video Retrieval and Temporal Alignment

Douze, M., Revaud, J., Verbeek, J. J., Jeǵou, H., & Schmid, C. (2015) · International Journal of Computer Vision · doi:10.1007/s11263-015-0875-0 · Cited by 37

Deep FisherNet for Object ClassificationPreprint

Tang, P., Wang, X., Shi, B., Bai, X., Liu, W., & Zhuowen Tu, A. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1608.00182 · Cited by 37

Exploiting Hierarchical Activations of Neural Network for Image Retrieval

Li, Y., Kong, X., Zheng, L., & Tian, Q. (2016) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/2964284.2967197 · Cited by 36

Action Recognition from Still Images Based on Deep VLAD Spatial Pyramids

Yan, S., Smith, J. S., & Zhang, B. (2017) · Signal Processing Image Communication · doi:10.1016/j.image.2017.03.010 · Cited by 38

Fine-grained Image Classification and Retrieval by Combining Visual and Locally Pooled Textual Features

Mafla, A., Dey, S., Biten, A. F., Gómez, L., & Karatzas, D. (2020) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv45572.2020.9093373 · Cited by 36

Self-supervised Feature Learning by Cross-modality and Cross-view Correspondences

Jing, L., Zhang, L., & Tian, Y. (2021) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw53098.2021.00174 · Cited by 38

An empirical study on image bag generators for multi-instance learning

Wei, X.-S., & Zhou, Z. (2016) · Machine Learning · doi:10.1007/s10994-016-5560-1 · Cited by 36

Evaluation of multiple features for violent scenes detection

Lam, V., Phan, S., Le, D.-D., Duong, D. A., & Satoh, S. (2016) · Multimedia Tools and Applications · doi:10.1007/s11042-016-3331-4 · Cited by 35

[Invited Paper] TRECVid Semantic Indexing of Video: A 6-Year Retrospective

Awad, G., Snoek, C. G. M., Smeaton, A. F., & Quenot, G. M. (2016) · ITE Transactions on Media Technology and Applications · doi:10.3169/mta.4.187 · Cited by 35

Evaluation of Low-Level Features for Real-World Surveillance Event Detection

Xian, Y., Rong, X., Yang, X., & Tian, Y. (2016) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2016.2589838 · Cited by 35

Task-Driven Progressive Part Localization for Fine-Grained Object Recognition

Huang, C., He, Z., Cao, G., & Cao, W. (2016) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2016.2602060 · Cited by 35

Towards Reversal-Invariant Image Representation

Xie, L., Wang, J., Lin, W., Zhang, B., & Tian, Q. (2016) · International Journal of Computer Vision · doi:10.1007/s11263-016-0970-x · Cited by 36

Picking Neural Activations for Fine-grained Recognition

Zhang, X., Xiong, H., Zhou, W., Lin, W., & Tian, Q. C. (2017) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2017.2710803 · Cited by 35

Medical image classification via multiscale representation learning

Tang, Q., Liu, Y., & Liu, H. (2017) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2017.06.009 · Cited by 35

Aggregating Deep Convolutional Features for Melanoma Recognition in Dermoscopy Images

Yu, Z. T., Jiang, X., Wang, T., & Lei, B. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-67389-9_28 · Cited by 35

Image Pre-Processing

Krig, S. (2014) · Apress eBooks · doi:10.1007/978-1-4302-5930-5_2 · Cited by 39

Multi-Level Local Feature Coding Fusion for Music Genre Recognition

Ng, W. W. Y., Zeng, W.-J., & Wang, T. (2020) · IEEE Access · doi:10.1109/access.2020.3017661 · Cited by 37

Interest Point Detector and Feature Descriptor Survey

Krig, S. (2016) · Springer eBooks · doi:10.1007/978-3-319-33762-3_6 · Cited by 37

Privacy-preserving Pedestrian Tracking using Distributed 3D LiDARs

Ohno, M., Ukyo, R., Amano, T., Rizk, H., & Yamaguchi, H. (2023) · IEEE International Conference on Pervasive Computing and Communications · doi:10.1109/percom56429.2023.10099061 · Cited by 35

Gait Recognition Using Motion Trajectory Analysis

Khan, M. H., Li, F., Farid, M. S., & Grzegorzek, M. (2017) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-59162-9_8 · Cited by 35

Multi-view representation learning for multi-view action recognition

Hao, T., Wu, D., Wang, Q., & Sun, J. (2017) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2017.01.019 · Cited by 34

Action recognition with multi-scale trajectory-pooled 3D convolutional descriptors

Lu, X., Yao, H., Zhao, S., Sun, X., & Zhang, S. (2017) · Multimedia Tools and Applications · doi:10.1007/s11042-017-5251-3 · Cited by 34

Coordinate CNNs and LSTMs to categorize scene images with multi-views and multi-levels of abstraction

Bai, S., Tang, H., & An, S. (2018) · Expert Systems with Applications · doi:10.1016/j.eswa.2018.08.056 · Cited by 35

MAPNet: Multi-modal attentive pooling network for RGB-D indoor scene classification

Li, Y., Zhang, Z., Cheng, Y., Wang, L., & Tan, T. (2019) · Pattern Recognition · doi:10.1016/j.patcog.2019.02.005 · Cited by 34

Scene Categorization Model Using Deep Visually Sensitive Features

Shi, J., Zhu, H., Yu, S., Wu, W., & Shi, H. W. (2019) · IEEE Access · doi:10.1109/access.2019.2908448 · Cited by 34

Deep cascaded cross-modal correlation learning for fine-grained sketch-based image retrieval

Wang, Y., Huang, F., Zhang, Y., Feng, R., Zhang, T., & Fan, W. (2019) · Pattern Recognition · doi:10.1016/j.patcog.2019.107148 · Cited by 34

Visual Recognition of Ancient Inscriptions Using Convolutional Neural Network and Fisher Vector

Amato, G. M., Falchi, F., & Vadicamo, L. (2016) · Journal on Computing and Cultural Heritage · doi:10.1145/2964911 · Cited by 38

Detecting Violence in Video using Subclasses

Li, X., Huo, Y., Jin, Q., & Xu, J. (2016) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/2964284.2967289 · Cited by 33

Author manuscript, published in "International Journal of Computer Vision (2013)" International Journal of Computer Vision manuscript No. (will be inserted by the editor) Image Classification with the Fisher Vector: Theory and Practice

Sánchez, J., Perronnin, F., Mensink, T., & Verbeek, J. J. (2013)

International Journal of Computer Vision manuscript No. (will be inserted by the editor) Image Classification with the Fisher Vector: Theory and Practice

Sánchez, J., Perronnin, F., Mensink, T., & Verbeek, J. J. (2014)

and Practice

Sánchez, J., Perronnin, F., Mensink, T., Verbeek, J. J., Sánchez, J., & Perronnin, F. (2014)

Local Patch Vectors Encoded by Fisher Vectors for Image Classification

Chen, S., Liu, H., Zeng, X., Qian, S., Wei, W., Wu, G., & Duan, B. (2018) · Information · doi:10.3390/info9020038 · Cited by 7

Fisher Vectors: Beyond Bag-of-Visual-Words Image Representations

Csurka, G., & Perronnin, F. (2011) · Communications in computer and information science · doi:10.1007/978-3-642-25382-9_2 · Cited by 65