Image Classification with the Fisher Vector: Theory and Practice

ImageNet classification with deep convolutional neural networks

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The Pascal Visual Object Classes Challenge: A Retrospective

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Visual categorization with bags of keypoints

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Locality-constrained Linear Coding for image classification

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Geometric Image Correspondence Verification by Dense Pixel Matching

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Scene classification from remote sensing images using mid-level deep feature learning

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An ensemble learning approach for the classification of remote sensing scenes based on covariance pooling of CNN features

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Adaptive Deep Co-Occurrence Feature Learning Based on Classifier-Fusion for Remote Sensing Scene Classification

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Orthogonal sparse linear discriminant analysis

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Local Feature Detectors, Descriptors, and Image Representations: A SurveyPreprint

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Automatic staging of placental maturity based on dense descriptor

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Unsupervised Feature Learning for Writer Identification and Writer Retrieval

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Efficient similarity search

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MFF-PR: Point Cloud and Image Multi-modal Feature Fusion for Place Recognition

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Deep Bottleneck Feature for Image Classification

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Collaborative Linear Coding for Robust Image Classification

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Improving the search accuracy of the VLAD through weighted aggregation of local descriptors

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RIDE: Reversal Invariant Descriptor Enhancement

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Computational Paralinguistics: Automatic Assessment of Emotions, Mood and Behavioural State from Acoustics of Speech

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D3-LND: A two-stream framework with discriminant deep descriptor, linear CMDT and nonlinear KCMDT descriptors for action recognition

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Two Birds With One Stone: A Coupled Poisson Deconvolution for Detecting and Describing Topics From Multimodal Web Data

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Recognizing Human Activities From Video Using Weakly Supervised Contextual Features

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Texture classification using block intensity and gradient difference (BIGD) descriptor

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Efficient Feature Mapping in Classifying Proportional Data

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An Attention-Guided Multilayer Feature Aggregation Network for Remote Sensing Image Scene Classification

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Cluster trees of improved trajectories for action recognition

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No spare parts: Sharing part detectors for image categorization

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Multi-modal and multi-layout discriminative learning for placental maturity staging

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3D binary signatures

Srivastava, S., & Lall, B. (2016) · Indian Conference on Computer Vision, Graphics and Image Processing · doi:10.1145/3009977.3010009 · Cited by 12

Vehicle make and model recognition using local features and logo detection

Tafazzoli, F., & Frigui, H. (2016) · International Symposium on Signal, Image, Video and Communications (ISIVC) · doi:10.1109/isivc.2016.7894014 · Cited by 12

Binary hashing using siamese neural networks

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From person to group re-identification via unsupervised transfer of sparse features

Lisanti, G., Martinel, N., Micheloni, C., Bimbo, A. D., & Foresti, G. L. (2019) · Image and Vision Computing · doi:10.1016/j.imavis.2019.02.009 · Cited by 12

First-Person Action Recognition With Temporal Pooling and Hilbert–Huang Transform

Purwanto, D., Chen, Y., & Fang, W. (2019) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2019.2919434 · Cited by 13

A Multimodal Interlocutor-Modulated Attentional BLSTM for Classifying Autism Subgroups During Clinical Interviews

Lin, Y.-S., Gau, S. S., & Lee, C.-C. (2020) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2020.2970578 · Cited by 12

Food object recognition and intelligent billing system based on Cascade R-CNN

Yuan, H., & Yan, M. G. (2020) · International Conference on Culture-oriented Science & Technology (ICCST) · doi:10.1109/iccst50977.2020.00021 · Cited by 12

Multimedia ontology population through semantic analysis and hierarchical deep features extraction techniques

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Exploring the Long Tail of Social Media Tags

Kordumova, S., van Gemert, J. C., & Snoek, C. G. M. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-27671-7_5 · Cited by 12

Aggregating binary local descriptors for image retrieval

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Multimodal fusion based on information gain for emotion recognition in the wild

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Analyzing Classifiers: Fisher Vectors and Deep Neural NetworksPreprint

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Embedding-Based Music Emotion Recognition Using Composite Loss

Takashima, N., Li, F., Grzegorzek, M., & Shirahama, K. (2023) · IEEE Access · doi:10.1109/access.2023.3265807 · Cited by 11

Evolutionary computation-based self-supervised learning for image processing: a big data-driven approach to feature extraction and fusion for multispectral object detection

Shen, X., Li, H., Shankar, A., Viriyasitavat, W., & Chamola, V. (2024) · Journal Of Big Data · doi:10.1186/s40537-024-00988-5 · Cited by 13

Where Are We After Five Editions?: Robot Vision Challenge, a Competition that Evaluates Solutions for the Visual Place Classification Problem

Martínez-Gómez, J., Barbara Caputo, B., Cazorla, M., Christensen, H. I., Fornoni, M., García-Varea, I., & Pronobis, A. (2015) · IEEE Robotics & Automation Magazine · doi:10.1109/mra.2015.2460931 · Cited by 11

Adaptive Co-occurrence Differential Texton Space for HEp-2 Cells Classification

Xu, X., Lin, F., Ng, C., & Leong, K. P. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-24574-4_31 · Cited by 11

Rare Chinese character recognition by Radical Extraction Network

Yan, Z., Yan, C., & Zhang, C. (2017) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc.2017.8122728 · Cited by 11

Birds of a feather flock together: Visual representation with scale and class consistency

Zhang, C., Li, C., Lü, D., Cheng, J., & Tian, Q. (2018) · Information Sciences · doi:10.1016/j.ins.2018.05.048 · Cited by 11

Fine-Grained Image Classification With Gaussian Mixture Layer

Liang, J., Guo, J., Liu, X., & Lao, S. (2018) · IEEE Access · doi:10.1109/access.2018.2871621 · Cited by 12

A Technique to Navigate Autonomous Underwater Vehicles Using a Virtual Coordinate Reference Network during Inspection of Industrial Subsea Structures

Бобков, В. А., Kudryashov, A. P., & Inzartsev, A. (2022) · Remote Sensing · doi:10.3390/rs14205123 · Cited by 11

Building discriminative features of scene recognition using multi-stages of inception-ResNet-v2

Khan, A. H., Chefranov, A. G., & Demirel, H. (2023) · Applied Intelligence · doi:10.1007/s10489-023-04460-4 · Cited by 12

Deep-Learning Model for Quality Assessment of Urinary Bladder Ultrasound Images Using Multiscale and Higher-Order Processing

Raina, D., Chandrashekhara, S. H., Voyles, R. M., Wachs, J. P., & Saha, S. K. (2024) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2024.3386919 · Cited by 13

Robust Scene Classification with Cross-Level LLC Coding on CNN Features

Jie, Z., & Yan, S. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-16808-1_26 · Cited by 10

Recognizing Car Fluents from Video

Li, B., Wu, T., Xiong, C., & Zhu, S. C. (2016) · 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.2016.413 · Cited by 11

Texture image classification with Riemannian fisher vectors

Ilea, I., Bombrun, L., Germain, C., Terebeş, R., Borda, M., & Berthoumieu, Y. (2016) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2016.7533019 · Cited by 11

Understanding and localizing activities from correspondences of clustered trajectories

Turchini, F., Seidenari, L., & Bimbo, A. D. (2016) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2016.11.007 · Cited by 11

Action recognition in depth videos using hierarchical gaussian descriptor

Nguyen, X. S., Mouaddib, A., Nguyễn, T. P., & Jeanpierre, L. (2018) · Multimedia Tools and Applications · doi:10.1007/s11042-017-5593-x · Cited by 11

Action Recognition with Multiple Relative Descriptors of Trajectories

Liao, Z., Hu, H., & Liu, Y. (2019) · Neural Processing Letters · doi:10.1007/s11063-019-10091-z · Cited by 11

SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks

Jiang, J., Wang, R., Lin, S., & Wang, F. (2019) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2019.8851974 · Cited by 11

Estimation of ergodicity limits of bag-of-words modeling for guaranteed stochastic convergence

Ghalyan, I. F. J. (2019) · Pattern Recognition · doi:10.1016/j.patcog.2019.107094 · Cited by 11

Multi‐mode neural network for human action recognition

Zhao, H., Xue, W., Li, X., Gu, Z., Niu, L., & Zhang, L. (2020) · IET Computer Vision · doi:10.1049/iet-cvi.2019.0761 · Cited by 11

Using the Fisher Vector Approach for Cold Identification

Egas-López, J. V., & Gosztolya, G. (2021) · Acta Cybernetica · doi:10.14232/actacyb.287868 · Cited by 11

Interpretable Classification of Human Exercise Videos Through Pose Estimation and Multivariate Time Series Analysis

Singh, A., Le, B. T., Nguyen, T. L., Whelan, D. F., O’Reilly, M., Caulfield, B., & Ifrim, G. (2022) · Studies in computational intelligence · doi:10.1007/978-3-030-93080-6_14 · Cited by 10

Improving Ancient Roman Coin Recognition with Alignment and Spatial Encoding

Kim, J., & Pavlović, V. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-16178-5_10 · Cited by 11

Finetuning Convolutional Neural Networks for visual aesthetics

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Segmentation and classification of consumer-grade and dermoscopic skin cancer images using hybrid textural analysis

Saleem, A., Bhatti, N., Ashraf, M. A., Zia, M., & Mehmood, H. (2019) · Journal of medical imaging · doi:10.1117/1.jmi.6.3.034501 · Cited by 11

Theory of Dual-sparse Regularized Randomized ReductionPreprint

Yang, T., Zhang, L., Jin, R., & Shenghuo Zhu, B. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1504.03991 · Cited by 11

Recent advances in scene image representation and classification

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SiamMAST: Siamese motion-aware spatio-temporal network for video action recognition

Lu, X., Quan, W., Marek, R., Zhao, H., & Chen, J. X. (2023) · The Visual Computer · doi:10.1007/s00371-023-03018-2 · Cited by 11

Boosting Fisher vector based scoring functions for person re-identification

Messelodi, S., & Modena, C. M. (2015) · Image and Vision Computing · doi:10.1016/j.imavis.2015.09.008 · Cited by 10

Structure-Aware Multimodal Feature Fusion for RGB-D Scene Classification and Beyond

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Does Removing Pooling Layers from Convolutional Neural Networks Improve Results?

dos Santos, C. F. G., Moreira, T. P., Colombo, D., & Papa, J. P. (2020) · SN Computer Science · doi:10.1007/s42979-020-00295-9 · Cited by 11

Human action recognition using high-order feature of optical flows

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Multi-layer feature extractions for image classification — Knowledge from deep CNNs

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RUCMM at MediaEval 2015 Affective Impact of Movies Task: Fusion of Audio and Visual Cues

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Towards Category Based Large-Scale Image Retrieval Using Transductive Support Vector Machines

Çevıkalp, H., Elmas, M., & Özkan, S. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-46604-0_44 · Cited by 10

Multithreading cascade of SURF for facial expression recognition

Chen, J., Luo, Z., Takiguchi, T., & Ariki, Y. (2016) · EURASIP Journal on Image and Video Processing · doi:10.1186/s13640-016-0140-7 · Cited by 10

Efficient determination of the number of weak learners in AdaBoost

Htike, K. K. (2016) · Journal of Experimental & Theoretical Artificial Intelligence · doi:10.1080/0952813x.2016.1266038 · Cited by 10

Object Localization on Natural Scenes: A Survey

Choudhuri, S., Das, N., Sarkhel, R., & Nasipuri, M. (2017) · International Journal of Pattern Recognition and Artificial Intelligence · doi:10.1142/s0218001418550017 · Cited by 10

Traffic scene recognition based on deep CNN and VLAD spatial pyramids

Wu, F., Yan, S.-Y., Smith, J. S., & Zhang, B. (2017) · International Conference on Machine Learning and Cybernetics · doi:10.1109/icmlc.2017.8107758 · Cited by 10

Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential

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A Survey on Unknown Presentation Attack Detection for Fingerprint

Singh, J. M., Madhun, A., Li, G., & Ramachandra, R. (2021) · Communications in computer and information science · doi:10.1007/978-3-030-71711-7_16 · Cited by 10

Hand Gesture Classification Using Grayscale Thermal Images and Convolutional Neural Network

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Region-based adaptive association learning for robust image scene recognition

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Overview of the MPEG CDVS Standard

Duan, L., Huang, T., & Gao, W. (2015) · DCC · doi:10.1109/dcc.2015.72 · Cited by 10

Robust scream sound detection via sound event partitioning

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A machine learning approach for detecting cell phone usage

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High-order information for robust iris recognition under less controlled conditions

Yang, G., Zeng, H., Li, P., & Lei Zhang, A. (2015) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2015.7351665 · Cited by 10

Visual recognition for humanoid robots

Fanello, S., Ciliberto, C., Noceti, N., Giorgio Metta, B., & Odone, F. (2016) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2016.10.001 · Cited by 11

Feature extraction with convolutional neural networks for aerial image retrieval

Çevıkalp, H., Dordinejad, G. G., & Elmas, M. (2017) · Signal Processing and Communications Applications Conference (SIU) · doi:10.1109/siu.2017.7960212 · Cited by 10

Softly combining an ensemble of classifiers learned from a single convolutional neural network for scene categorization

Bai, S., & Tang, H. (2018) · Applied Soft Computing · doi:10.1016/j.asoc.2018.03.007 · Cited by 10

AIC2018 Report: Traffic Surveillance Research

Mao, T., Zhang, W., He, H., Lin, Y., Kale, V. U., Stein, A., & Kostić, Z. (2018) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2018.00019 · Cited by 10

Detecting action-relevant regions for action recognition using a three-stage saliency detection technique

Wang, X., & Qi, C. (2019) · Multimedia Tools and Applications · doi:10.1007/s11042-019-08535-8 · Cited by 10

Fisher Vector Coding for Covariance Matrix Descriptors Based on the Log-Euclidean and Affine Invariant Riemannian Metrics

Ilea, I., Bombrun, L., Said, S., & Berthoumieu, Y. (2018) · Journal of Imaging · doi:10.3390/jimaging4070085 · Cited by 10

DKD–DAD: a novel framework with discriminative kinematic descriptor and deep attention-pooled descriptor for action recognition

Tong, M., Li, M., Bai, H., Ma, L., & Zhao, M. (2019) · Neural Computing and Applications · doi:10.1007/s00521-019-04030-1 · Cited by 9

Recognition of Indoor Scenes Using 3-D Scene Graphs

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NORPPA: NOvel Ringed Seal Re-Identification by Pelage Pattern Aggregation

Nepovinnykh, E., Eerola, T., Kalviainen, H. A., & Chelak, I. (2024) · IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW) · doi:10.1109/wacvw60836.2024.00008 · Cited by 12

AMES: Asymmetric and Memory-Efficient Similarity Estimation for Instance-Level Retrieval

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Imbalanced multi-instance multi-label learning via tensor product-based semantic fusion

Zhang, X., & Luo, T. (2025) · Frontiers of Computer Science · doi:10.1007/s11704-024-40192-5 · Cited by 9

Kernel-based transition probability toward similarity measure for semi-supervised learning

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Local Higher-Order Statistics (LHS) describing images with statistics of local non-binarized pixel patterns

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LSIF: A System for Large-Scale Information Flow Detection Based on Topic-Related Semantic Similarity Measurement

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UTS-CMU at THUMOS 2015

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Machine learning for video event recognition

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DynaSeg: A deep dynamic fusion method for unsupervised image segmentation incorporating feature similarity and spatial continuity

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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)

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