Most cited papers in Advanced Image and Video Retrieval Techniques
What are the most cited papers in Advanced Image and Video Retrieval Techniques?
The most cited paper in Advanced Image and Video Retrieval Techniques is "Deep Residual Learning for Image Recognition" (Kaiming He, Xiangyu Zhang, Shaoqing Ren et al., 2016), with 229,585 citations. Next come "ImageNet: A large-scale hierarchical image database" (63,518) and "Distinctive Image Features from Scale-Invariant Keypoints" (56,041).
Showing 50 of 98 papers. Every paper with more than 4,088 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Deep Residual Learning for Image Recognition Kaiming He, Xiangyu Zhang, Shaoqing Ren et al. | Jun 2016 | 229,585 |
| 2 | ImageNet: A large-scale hierarchical image database Jia Hao Deng, Wei Dong, Richard Socher et al. · 2009 IEEE Conference on Computer Vision and Pattern Recognition | Jun 2009 | 63,518 |
| 3 | Distinctive Image Features from Scale-Invariant Keypoints David G. Lowe · International Journal of Computer Vision | 2 Jun 2004 | 56,041 |
| 4 | Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren, Kaiming He, Ross Girshick et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 6 Jun 2016 | 55,999 |
| 5 | Going deeper with convolutions Christian Szegedy, Wei Liu, Yangqing Jia et al. | Jun 2015 | 47,422 |
| 6 | Microsoft COCO: Common Objects in Context Tsung-Yi Lin, Michael Maire, Serge Belongie et al. · Lecture notes in computer science | 2014 | 43,802 |
| 7 | ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky, Jia Hao Deng, Hao Su et al. · International Journal of Computer Vision | 10 Apr 2015 | 40,843 |
| 8 | Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu, Yutong Lin, Yue Cao et al. · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) | Oct 2021 | 32,838 |
| 9 | Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation Ross Girshick, Jeff Donahue, Trevor J. Darrell et al. | Jun 2014 | 32,284 |
| 10 | Histograms of Oriented Gradients for Human Detection Navneet Dalal, Bill Triggs | 27 Jul 2005 | 32,222 |
| 11 | Feature Pyramid Networks for Object Detection Tsung-Yi Lin, Piotr Dollár, Ross Girshick et al. | Jul 2017 | 29,985 |
| 12 | Mask R-CNN Kaiming He, Georgia Gkioxari, Piotr Dollár et al. | Oct 2017 | 29,752 |
| 13 | Fast R-CNN Ross Girshick | Dec 2015 | 28,569 |
| 14 | Random sample consensus Martin A. Fischler, Robert C. Bolles · Communications of the ACM | Jun 1981 | 26,036 |
| 15 | Learning Multiple Layers of Features from Tiny Images Alex Krizhevsky | 2024 | 25,341 |
| 16 | DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 27 Apr 2017 | 22,754 |
| 17 | The Pascal Visual Object Classes (VOC) Challenge Mark Everingham, Luc Van Gool, Christopher K. I. Williams et al. · International Journal of Computer Vision | 8 Sep 2009 | 20,137 |
| 18 | YOLO9000: Better, Faster, Stronger Joseph Redmon, Ali Farhadi | Jul 2017 | 19,320 |
| 19 | Rapid object detection using a boosted cascade of simple features Paul A. Viola, Michael Jones | 24 Aug 2005 | 18,370 |
| 20 | Object recognition from local scale-invariant features David G. Lowe | 1999 | 16,396 |
| 21 | Pyramid Scene Parsing Network Hengshuang Zhao, Jianping Shi, Xiaojuan Qi et al. | Jul 2017 | 15,943 |
| 22 | Normalized cuts and image segmentation Jianbo Shi, Jitendra Malik · IEEE Transactions on Pattern Analysis and Machine Intelligence | 2000 | 15,833 |
| 23 | Multiresolution gray-scale and rotation invariant texture classification with local binary patterns Timo Ojala, Matti Pietikäinen, Topi Mäenpää · IEEE Transactions on Pattern Analysis and Machine Intelligence | Jul 2002 | 15,451 |
| 24 | Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation Liang-Chieh Chen, Yukun Zhu, George Papandreou et al. · Lecture notes in computer science | 2018 | 15,130 |
| 25 | SURF: Speeded Up Robust Features Herbert Bay, Tinne Tuytelaars, Luc Van Gool · Lecture notes in computer science | 2006 | 14,761 |
| 26 | A Multi-Modal Distributed Real-Time IoT System for Urban Traffic Control (Invited Paper) Khanam, Zeba, Achari, Vejey Pradeep Suresh, Boukhennoufa, Issam et al. · DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) | 2024 | 14,399 |
| 27 | Robust Real-Time Face Detection Paul A. Viola, Michael Jones · International Journal of Computer Vision | 22 Jan 2004 | 14,253 |
| 28 | Eigenfaces for Recognition Matthew Turk, Alex Pentland · Journal of Cognitive Neuroscience | 1991 | 13,806 |
| 29 | Speeded-Up Robust Features (SURF) Herbert Bay, Andreas Ess, Tinne Tuytelaars et al. · Computer Vision and Image Understanding | 7 Jan 2008 | 13,545 |
| 30 | The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts, Mohamed Omran, Sebastian Ramos et al. | Jun 2016 | 12,301 |
| 31 | YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors Chien-Yao Wang, Alexey Bochkovskiy, Hong-Yuan Mark Liao | Jun 2023 | 11,754 |
| 32 | An Iterative Image Registration Technique with an Application to Stereo Vision Bruce D. Lucas, Takeo Kanade | 24 Aug 1981 | 11,597 |
| 33 | Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition Kaiming He, Xiangyu Zhang, Shaoqing Ren et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 9 Jan 2015 | 11,594 |
| 34 | Caffe Yangqing Jia, Evan Shelhamer, Jeff Donahue et al. | 3 Nov 2014 | 11,245 |
| 35 | ORB: An efficient alternative to SIFT or SURF Ethan Rublee, Vincent Rabaud, Kurt Konolige et al. | Nov 2011 | 10,693 |
| 36 | Object Detection with Discriminatively Trained Part-Based Models Pedro F. Felzenszwalb, Ross Girshick, David McAllester et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 24 Sep 2009 | 10,129 |
| 37 | ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin et al. | Jun 2018 | 9,334 |
| 38 | SLIC Superpixels Compared to State-of-the-Art Superpixel Methods Radhakrishna Achanta, Anil Shaji, Kevin Christopher Smith et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 30 May 2012 | 9,302 |
| 39 | Path Aggregation Network for Instance Segmentation Shu Liu, Lu Qi, Haifang Qin et al. | Jun 2018 | 9,270 |
| 40 | EfficientDet: Scalable and Efficient Object Detection Mingxing Tan, Ruoming Pang, Quoc Viet Le | Jun 2020 | 9,034 |
| 41 | A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics David Martín, Charless C. Fowlkes, Doron Tal et al. | 13 Nov 2002 | 8,139 |
| 42 | A ConvNet for the 2020s Zhuang Liu, Hanzi Mao, Chao-Yuan Wu et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | Jun 2022 | 8,057 |
| 43 | Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories Svetlana Lazebnik, C. Schmid, Jean Ponce | 10 Jul 2006 | 7,972 |
| 44 | Multidimensional binary search trees used for associative searching Jon Louis Bentley · Communications of the ACM | Sep 1975 | 7,627 |
| 45 | Visual pattern recognition by moment invariants Ming-Kuei Hu · IRE Transactions on Information Theory | Feb 1962 | 7,575 |
| 46 | Show, Attend and Tell: Neural Image Caption Generation with Visual Attention Kelvin Xu, Jimmy Lei Ba, Ryan Kiros et al. · arXiv (Cornell University) | 10 Feb 2015 | 7,513 |
| 47 | The Pascal Visual Object Classes Challenge: A Retrospective Mark Everingham, S. M. Ali Eslami, Luc Van Gool et al. · International Journal of Computer Vision | 24 Jun 2014 | 7,447 |
| 48 | A Simple Framework for Contrastive Learning of Visual Representations Ting Chen, Simon Kornblith, Mohammad Norouzi et al. · arXiv (Cornell University) | 13 Feb 2020 | 7,327 |
| 49 | A global optimisation method for robust affine registration of brain images Mark Jenkinson, Stephen M. Smith · Medical Image Analysis | Jun 2001 | 7,274 |
| 50 | Deformable Convolutional Networks Jifeng Dai, Haozhi Qi, Yuwen Xiong et al. | Oct 2017 | 7,204 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.