[Paper] Visual Instance Retrieval with Deep Convolutional Networks

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 · see citing works

Very Deep Convolutional Networks for Large-Scale Image Recognition

Simonyan, K., & Zisserman, A. (2014) · arXiv · doi:10.48550/arxiv.1409.1556 · Cited by 74,248 · see citing works

ImageNet: A large-scale hierarchical image database

Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., & Fei-Fei, L. (2009) · 2009 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2009.5206848 · Cited by 65,333 · see citing works

Visualizing and understanding convolutional networks

Zeiler, M. D., & Fergus, R. (2014) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-10590-1_53 · Cited by 15,839 · see citing works

A performance evaluation of local descriptors

Mikolajczyk, K., & Schmid, C. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.188 · Cited by 6,723 · see citing works

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 · see citing works

Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Simonyan, K., Vedaldi, A., & Zisserman, A. (2013) · arXiv · doi:10.48550/arxiv.1312.6034 · Cited by 5,370 · see citing works

CNN Features Off-the-Shelf: An Astounding Baseline for Recognition

Razavian, A. S., Azizpour, H., Sullivan, J., & Carlsson, S. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops · doi:10.1109/cvprw.2014.131 · Cited by 4,451 · see citing works

DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

Donahue, J., Jia, Y., Vinyals, O., Hoffman, J., Zhang, N., Tzeng, E., & Darrell, T. (2013) · arXiv · doi:10.48550/arxiv.1310.1531 · Cited by 4,019 · see citing works

Scalable Recognition with a Vocabulary Tree

Nistér, D., & Stewénius, H. (2006) · 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.2006.264 · Cited by 3,599 · see citing works

Return of the Devil in the Details: Delving Deep into Convolutional Nets

Chatfield, K., Simonyan, K., Vedaldi, A., & Zisserman, A. (2014) · Proceedings of the British Machine Vision Conference 2014 · doi:10.5244/c.28.6 · Cited by 3,335 · see citing works

Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks

Oquab, M., Bottou, L., Laptev, I., & Sivic, J. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2014.222 · Cited by 3,150 · see citing works

Object retrieval with large vocabularies and fast spatial matching

Philbin, J. F., Chum, O., Isard, M., Šivic, J., & Zisserman, A. (2007) · 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.2007.383172 · Cited by 2,931 · see citing works

Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search

Jegou, H., Douze, M., & Schmid, C. (2008) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-88682-2_24 · Cited by 1,901 · cited 3× · see citing works

NetVLAD: CNN architecture for weakly supervised place recognitionPreprint

Arandjelović, R., Gronát, P., Torii, A., Pajdla, T., & Šivic, J. (2015) · arXiv (Cornell University) · Cited by 1,790 · see citing works

Fisher Kernels on Visual Vocabularies for Image Categorization

Perronnin, F., & Dance, C. (2007) · 2007 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2007.383266 · Cited by 1,641 · see citing works

Aggregating Local Image Descriptors into Compact Codes

Jegou, H., Perronnin, F., Douze, M., Sanchez, J., Perez, P., & Schmid, C. (2012) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2011.235 · Cited by 1,503 · see citing works

Lost in quantization: Improving particular object retrieval in large scale image databases

Philbin, J., Chum, O., Isard, M., Sivic, J., & Zisserman, A. (2008) · 2008 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2008.4587635 · Cited by 1,478 · see citing works

Neural Codes for Image Retrieval

Babenko, A., Slesarev, A., Chigorin, A., & Lempitsky, V. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-10590-1_38 · Cited by 1,225 · see citing works

Multi-scale Orderless Pooling of Deep Convolutional Activation Features

Gong, Y., Wang, L., Guo, R., & Lazebnik, S. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-10584-0_26 · Cited by 1,043 · see citing works

Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval

Chum, O., Philbin, J. F., Šivic, J., Isard, M., & Zisserman, A. (2007) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2007.4408891 · Cited by 860 · see citing works

Object Detectors Emerge in Deep Scene CNNsPreprint

Zhou, B., Khosla, A., Lapedriza, À., Oliva, A., & Torralba, A. B. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1412.6856 · Cited by 823 · see citing works

Deep Learning for Content-Based Image Retrieval

Wan, J., Wang, D., Hoi, S. C. H., Wu, P., Zhu, J., Zhang, Y., & Li, J. (2014) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/2647868.2654948 · Cited by 814 · see citing works

Small codes and large image databases for recognition

Torralba, A., Fergus, R., & Weiss, Y. (2008) · 2008 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2008.4587633 · Cited by 727 · see citing works

Aggregating Local Deep Features for Image Retrieval

Yandex, A. B., & Lempitsky, V. (2015) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.150 · Cited by 679 · see citing works

Deformable part models are convolutional neural networks

Girshick, R., Iandola, F., Darrell, T., & Malik, J. (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.2015.7298641 · Cited by 423 · see citing works

Using very deep autoencoders for content-based image retrieval.

Krizhevsky, A., & Hinton, G. E. (2011) · Cited by 372 · see citing works

Exploiting local features from deep networks for image retrieval

Ng, J. Y.-H., Yang, F., & Davis, L. S. (2015) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2015.7301272 · Cited by 359 · see citing works

Learning Local Feature Descriptors Using Convex Optimisation

Simonyan, K., Vedaldi, A., & Zisserman, A. (2014) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2014.2301163 · Cited by 345 · see citing works

Factors of Transferability for a Generic ConvNet Representation

Azizpour, H., Razavian, A. S., Sullivan, J., Maki, A., & Carlsson, S. (2016) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2015.2500224 · Cited by 301 · see citing works

Efficient representation of local geometry for large scale object retrieval

Perďoch, M., Chum, O., & Matas, J. (2009) · 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.2009.5206529 · Cited by 260 · see citing works

Triangulation Embedding and Democratic Aggregation for Image Search

Jeǵou, H., & Zisserman, A. (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.2014.417 · Cited by 246 · see citing works

Descriptor Matching with Convolutional Neural Networks: a Comparison to SIFTPreprint

Fischer, P., Dosovitskiy, A., & Brox, T. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1405.5769 · Cited by 234 · see citing works

To Aggregate or Not to aggregate: Selective Match Kernels for Image Search

Tolias, G., Avrithis, Y., & Jeǵou, H. (2013) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2013.177 · Cited by 207 · see citing works

A Comprehensive Study Over VLAD and Product Quantization in Large-Scale Image Retrieval

Spyromitros-Xioufis, E., Papadopoulos, S., Kompatsiaris, I. Y., Tsoumakas, G., & Vlahavas, I. P. (2014) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2014.2329648 · Cited by 129 · see citing works

A Baseline for Visual Instance Retrieval with Deep Convolutional NetworksPreprint

Razavian, A. S., Sullivan, J., Maki, A., & Carlsson, S. (2014) · arXiv (Cornell University) · Cited by 95 · see citing works

Smooth object retrieval using a bag of boundaries

Arandjelović, R., & Zisserman, A. (2011) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2011.6126265 · Cited by 89 · see citing works

Locality in Generic Instance Search from One Example

Ran, T., Gavves, E., Snoek, C. G. M., & Smeulders, A. W. 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.2014.269 · Cited by 73 · see citing works

Oriented pooling for dense and non-dense rotation-invariant features

Zhao, W.-L., Gravier, G., & Jeǵou, H. (2013) · British Machine Vision Conference (BMVC) · doi:10.5244/c.27.99 · Cited by 52 · see citing works

Efficient representation of local geometry for large scale object retrieval

Perďoch, M., Chum, O., & Matas, J. (2009) · 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/cvprw.2009.5206529 · Cited by 33 · see citing works

Fine-Tuning CNN Image Retrieval with No Human Annotation

Radenović, F., Tolias, G., & Chum, O. (2018) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2018.2846566 · Cited by 1,515 · see citing works

PatternNet: A benchmark dataset for performance evaluation of remote sensing image retrieval

Zhou, W., Newsam, S., Li, C., & Shao, Z. (2018) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2018.01.004 · Cited by 571 · see citing works

Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking

Radenović, F., İşcen, A., Tolias, G., Avrithis, Y., & Chum, O. (2018) · 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.2018.00598 · Cited by 406 · see citing works

Exploiting local features from deep networks for image retrieval

Ng, J. Y.-H., Yang, F., & Davis, L. S. (2015) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2015.7301272 · Cited by 359 · see citing works

A survey on Visual-Based Localization: On the benefit of heterogeneous data

Piasco, N., Désiré Sidibé, A., Demonceaux, C., & Gouet-Brunet, V. (2017) · Pattern Recognition · doi:10.1016/j.patcog.2017.09.013 · Cited by 238 · see citing works

Aggregating Deep Convolutional Features for Image Retrieval

Babenko, A., & Lempitsky, V. (2015) · arXiv · doi:10.48550/arxiv.1510.07493 · Cited by 224 · see citing works

Deep Learning for Instance Retrieval: A Survey

Chen, W., Liu, Y., Wang, W., Bakker, E. M., Georgiou, T., Fieguth, P., Liu, L., & Lew, M. S. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2022.3218591 · Cited by 282 · see citing works

Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models

Somepalli, G., Singla, V., Goldblum, M., Geiping, J., & Goldstein, T. (2023) · 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/cvpr52729.2023.00586 · Cited by 206 · see citing works

A Survey on Deep Visual Place Recognition

Masone, C., & Barbara Caputo, B. (2021) · IEEE Access · doi:10.1109/access.2021.3054937 · Cited by 196 · see citing works

Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations

İşcen, A., Tolias, G., Avrithis, Y., Furon, T., & Chum, O. (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.2017.105 · Cited by 186 · see citing works

Efficient Indexing of Billion-Scale Datasets of Deep Descriptors

Yandex, A. B., & Lempitsky, V. (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.2016.226 · Cited by 189 · see citing works

A Holistic Visual Place Recognition Approach Using Lightweight CNNs for Significant ViewPoint and Appearance Changes

Khaliq, A., Ehsan, S., Chen, Z., Milford, M. J., & McDonald-Maier, K. D. (2019) · IEEE Transactions on Robotics · doi:10.1109/tro.2019.2956352 · Cited by 157 · see citing works

Hierarchical Recurrent Neural Hashing for Image Retrieval With Hierarchical Convolutional Features

Lu, X., Chen, Y., & Li, X. (2017) · IEEE Transactions on Image Processing · doi:10.1109/tip.2017.2755766 · Cited by 120 · see citing works

Detect-To-Retrieve: Efficient Regional Aggregation for Image Search

Teichmann, M., Araújo, A. D. M., Zhu, M., & Sim, J. (2019) · 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.2019.00525 · Cited by 120 · see citing works

Universal Perturbation Attack Against Image Retrieval

Li, J., Ji, R., Liu, H., Hong, X., Gao, Y., & Tian, Q. C. (2019) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00500 · Cited by 120 · see citing works

Explicit Shape Encoding for Real-Time Instance Segmentation

Xu, W., Wang, H., Qi, F., & Lu, C. (2019) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00527 · Cited by 115 · see citing works

Mining on Manifolds: Metric Learning Without Labels

İşcen, A., Tolias, G., Avrithis, Y., & Chum, O. (2018) · 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.2018.00797 · Cited by 110 · see citing works

Learning and Aggregating Deep Local Descriptors for Instance-Level Recognition

Tolias, G., Jenícek, T., & Chum, O. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-58452-8_27 · Cited by 98 · see citing works

Attention-based Pyramid Aggregation Network for Visual Place Recognition

Zhu, Y., Wang, J., Xie, L., & Zheng, L. (2018) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3240508.3240525 · Cited by 89 · see citing works

Near-Duplicate Video Retrieval with Deep Metric Learning

Kordopatis-Zilos, G., Papadopoulos, S., Patras, I., & Kompatsiaris, Y. (2017) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw.2017.49 · Cited by 87 · see citing works

Class Weighted Convolutional Features for Visual Instance Search

Jimenez, A., Álvarez, J. M., & Giró-i-Nieto, X. (2017) · British Machine Vision Conference (BMVC) · doi:10.5244/c.31.144 · Cited by 80 · see citing works

A Robust Coverless Steganography Scheme Using Camouflage Image

Liu, Q., Xiang, X., Qin, J., Tan, Y., & Zhang, Q. (2021) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2021.3108772 · Cited by 74 · see citing works

Local Features and Visual Words Emerge in ActivationsPreprint

Sim\'eoni, O., Avrithis, Y., & Chum, O. (2019) · arXiv (Cornell University) · Cited by 74 · see citing works

Temporal Context Aggregation for Video Retrieval with Contrastive Learning

Shao, J., Wen, X., Zhao, B., & Xue, X. (2021) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv48630.2021.00331 · Cited by 72 · see citing works

Exploiting Local Features from Deep Networks for Image RetrievalPreprint

Ng, J. Y.-H., Yang, F., & Davis, L. S. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1504.05133 · Cited by 91 · see citing works

Deep Shape Matching

Radenović, F., Tolias, G., & Chum, O. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-01228-1_46 · Cited by 71 · see citing works

Targeted Mismatch Adversarial Attack: Query With a Flower to Retrieve the Tower

Tolias, G., Radenović, F., & Chum, O. (2019) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00514 · Cited by 71 · see citing works

Deep convolutional features for image retrieval

Gkelios, S., Sophokleous, A., Plakias, S., Boutalis, Y. S., & Chatzichristofis, S. A. (2021) · Expert Systems with Applications · doi:10.1016/j.eswa.2021.114940 · Cited by 71 · see citing works

Joint Attention Network for Finger Vein Authentication

Huang, J., Tu, M., Yang, W., & Kang, W. (2021) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2021.3109978 · Cited by 70 · see citing works

Visual complexity analysis using deep intermediate-layer features

Saraee, E., Jalal, M., & Betke, M. (2020) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2020.102949 · Cited by 69 · see citing works

Deep-seated features histogram: A novel image retrieval method

Liu, G., & Yang, J.-Y. (2021) · Pattern Recognition · doi:10.1016/j.patcog.2021.107926 · Cited by 68 · see citing works

Improving Large-Scale Image Retrieval Through Robust Aggregation of Local Descriptors

Husain, S. S., & Bober, M. Z. (2016) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2613873 · Cited by 67 · see citing works

Benchmarking Image Retrieval for Visual Localization

Pion, N., Humenberger, M., Csurka, G., Cabon, Y., & Sattler, T. (2020) · International Conference on 3D Vision (3DV) · doi:10.1109/3dv50981.2020.00058 · Cited by 63 · see citing works

Sparse-to-Dense Hypercolumn Matching for Long-Term Visual Localization

Germain, H., Bourmaud, G., & Lepetit, V. (2019) · International Conference on 3D Vision (3DV) · doi:10.1109/3dv.2019.00063 · Cited by 61 · see citing works

Global Features are All You Need for Image Retrieval and Reranking

Shao, S., Chen, K., Karpur, A., Cui, Q., Araújo, A. D. M., & Cao, B. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.01013 · Cited by 62 · see citing works

Unsupervised Part-Based Weighting Aggregation of Deep Convolutional Features for Image Retrieval

Xu, J., Shi, C., Qi, C., Wang, C., & Xiao, B. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v32i1.12231 · Cited by 60 · see citing works

Deep image retrieval: a surveyPreprint

Chen, W., Liu, Y., Wang, W., Bakker, E. M., Georgiou, T., Fieguth, P., Liu, L., & Lew, M. S. (2021) · Leiden Repository (Leiden University) · Cited by 58 · see citing works

Matchable Image Retrieval by Learning from Surface Reconstruction

Shen, T., Luo, Z., Zhou, L., Zhang, R., Zhu, S., Fang, T., & Quan, L. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-20887-5_26 · Cited by 57 · see citing works

Towards Good Practices for Image Retrieval Based on CNN Features

Seddati, O., Dupont, S., Mahmoudi, S., & Parian, M. A. (2017) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw.2017.150 · Cited by 50 · see citing works

A Two-Stage Triplet Network Training Framework for Image Retrieval

Min, W., Mei, S., Li, Z., & Jiang, S. (2020) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2020.2974326 · Cited by 48 · see citing works

Fast Spectral Ranking for Similarity Search

İşcen, A., Avrithis, Y., Tolias, G., Furon, T., & Chum, O. (2018) · 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.2018.00796 · Cited by 49 · see citing works

Unsupervised Semantic-Based Aggregation of Deep Convolutional Features

Xu, J., Wang, C., Qi, C., Shi, C., & Xiao, B. (2018) · IEEE Transactions on Image Processing · doi:10.1109/tip.2018.2867104 · Cited by 46 · see citing works

TDHPPIR: An Efficient Deep Hashing Based Privacy-Preserving Image Retrieval Method

Zhang, C., Zhu, L., Zhang, S., & Yu, W. (2020) · Neurocomputing · doi:10.1016/j.neucom.2019.11.119 · Cited by 46 · see citing works

Deep Feature Aggregation and Image Re-Ranking With Heat Diffusion for Image Retrieval

Pang, S., Ma, J., Xue, J., Zhu, J., & Ordóñez, V. (2018) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2018.2876833 · Cited by 45 · see citing works

Investigating the Role of Image Retrieval for Visual Localization

Humenberger, M., Cabon, Y., Pion, N., Weinzaepfel, P., Lee, D., Guérin, N., Sattler, T., & Csurka, G. (2022) · International Journal of Computer Vision · doi:10.1007/s11263-022-01615-7 · Cited by 44 · see citing works

Learning non-metric visual similarity for image retrieval

García, N., & Vogiatzis, G. (2019) · Image and Vision Computing · doi:10.1016/j.imavis.2019.01.001 · Cited by 44 · see citing works

Investigating the Vision Transformer Model for Image Retrieval Tasks

Gkelios, S., Boutalis, Y. S., & Chatzichristofis, S. A. (2021) · International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT) · doi:10.1109/dcoss52077.2021.00065 · Cited by 37 · see citing works

Dynamic Match Kernel With Deep Convolutional Features for Image Retrieval

Yang, J., Liang, J., Shen, H., Wang, K., Rosin, P. L., & Yang, M. (2018) · IEEE Transactions on Image Processing · doi:10.1109/tip.2018.2845136 · Cited by 35 · see citing works

Web-Scale Image Clustering Revisited

Avrithis, Y., Kalantidis, Y., Anagnostopoulos, E., & Emiris, I. Z. (2015) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.176 · Cited by 35 · see citing works

Saliency Weighted Convolutional Features for Instance Search

Mohedano, E., McGuinness, K., Giró-i-Nieto, X., & O'Connor, N. E. (2018) · International Workshop on Content-Based Multimedia Indexing (CBMI) · doi:10.1109/cbmi.2018.8516500 · Cited by 36 · see citing works

Fully Automated Pose Estimation of Historical Images in the Context of 4D Geographic Information Systems Utilizing Machine Learning Methods

Maiwald, F., Lehmann, C. U., & Lazariv, T. (2021) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi10110748 · Cited by 35 · see citing works

The 2021 Image Similarity Dataset and ChallengePreprint

Douze, M., Tolias, G., Pizzi, E., Papakipos, Z., Chanussot, L., Radenović, F., Jenícek, T., Maximov, M., Leal-Taixé, L., Elezi, I., et al. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2106.09672 · Cited by 35 · see citing works

Content based image retrieval by ensembles of deep learning object classifiers

Hamreras, S., Boucheham, B., Molina‐Cabello, M. A., Benítez-Rochel, R., & López‐Rubio, E. (2020) · Integrated Computer-Aided Engineering · doi:10.3233/ica-200625 · Cited by 34 · see citing works

Asymmetric metric learning for knowledge transfer

Budnik, M., & Avrithis, Y. (2021) · 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/cvpr46437.2021.00813 · Cited by 35 · see citing works

An ontology-driven multimedia focused crawler based on linked open data and deep learning techniques

Capuano, A., Rinaldi, A. M., & Russo, C. (2019) · Multimedia Tools and Applications · doi:10.1007/s11042-019-08252-2 · Cited by 32 · see citing works

Deep Region Hashing for Efficient Large-scale Instance Search from ImagesPreprint

Song, J., He, T., Gao, L., Xu, X., & Shen, H. T. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1701.07901 · Cited by 32 · see citing works

Learning a robust representation via a deep network on symmetric positive definite manifolds

Gao, Z. F., Wu, Y., Bu, X., Yu, T., Yuan, J., & Jia, Y. (2019) · Pattern Recognition · doi:10.1016/j.patcog.2019.03.007 · Cited by 34 · see citing works

Deep Region Hashing for Generic Instance Search from Images

Song, J., He, T., Gao, L., Xu, X., & Shen, H. T. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v32i1.11277 · Cited by 30 · see citing works

Panorama to Panorama Matching for Location Recognition

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The VISIONE Video Search System: Exploiting Off-the-Shelf Text Search Engines for Large-Scale Video Retrieval

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