Most cited papers in Visual Attention and Saliency Detection
What are the most cited papers in Visual Attention and Saliency Detection?
The most cited paper in Visual Attention and Saliency Detection is "Image quality assessment: from error visibility to structural similarity" (Zhou Wang, Alan Conrad Bovik, Hamid R. Sheikh et al., 2004), with 58,409 citations. Next come "Rapid object detection using a boosted cascade of simple features" (18,370) and "A feature-integration theory of attention" (12,545).
Showing 50 of 99 papers. Every paper with more than 1,204 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Image quality assessment: from error visibility to structural similarity Zhou Wang, Alan Conrad Bovik, Hamid R. Sheikh et al. · IEEE Transactions on Image Processing | Apr 2004 | 58,409 |
| 2 | Rapid object detection using a boosted cascade of simple features Paul A. Viola, Michael Jones | 24 Aug 2005 | 18,370 |
| 3 | A feature-integration theory of attention Anne Treisman, Garry A. Gelade · Cognitive Psychology | 1980 | 12,545 |
| 4 | A model of saliency-based visual attention for rapid scene analysis Laurent Itti, Christof Koch, Ernst Niebur · IEEE Transactions on Pattern Analysis and Machine Intelligence | 1998 | 11,422 |
| 5 | 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 |
| 6 | FCOS: Fully Convolutional One-Stage Object Detection Zhi Tian, Chunhua Shen, Hao Chen et al. | Oct 2019 | 6,353 |
| 7 | Object Detection With Deep Learning: A Review Zhong‐Qiu Zhao, Peng Zheng, Shou-Tao Xu et al. · IEEE Transactions on Neural Networks and Learning Systems | 28 Jan 2019 | 5,508 |
| 8 | FSIM: A Feature Similarity Index for Image Quality Assessment Lin Zhang, Lei Zhang, Xuanqin Mou et al. · IEEE Transactions on Image Processing | 31 Jan 2011 | 5,283 |
| 9 | The distributed human neural system for face perception James V. Haxby, James V. Haxby, Elizabeth A. Hoffman et al. · Trends in Cognitive Sciences | Jun 2000 | 5,016 |
| 10 | Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang, Enze Xie, Xiang Li et al. · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) | Oct 2021 | 4,932 |
| 11 | Computational modelling of visual attention Laurent Itti, Christof Koch · Nature reviews. Neuroscience | Mar 2001 | 4,815 |
| 12 | An experimental comparison of min-cut/max- flow algorithms for energy minimization in vision Yuri Boykov, Vladimir Kolmogorov · IEEE Transactions on Pattern Analysis and Machine Intelligence | 27 Jul 2004 | 4,630 |
| 13 | Deep Reinforcement Learning: A Brief Survey Kai Arulkumaran, Marc Peter Deisenroth, Miles Brundage et al. · IEEE Signal Processing Magazine | Nov 2017 | 4,470 |
| 14 | Frequency-tuned salient region detection Radhakrishna Achanta, Sheila S. Hemami, Francisco Estrada et al. · 2009 IEEE Conference on Computer Vision and Pattern Recognition | Jun 2009 | 4,263 |
| 15 | Distributed and Overlapping Representations of Faces and Objects in Ventral Temporal Cortex James V. Haxby, M. Ida Gobbini, Maura L. Furey et al. · Science | 28 Sep 2001 | 4,187 |
| 16 | Representational similarity analysis – connecting the branches of systems neuroscience Nikolaus Kriegeskorte · Frontiers in Systems Neuroscience | 2008 | 3,813 |
| 17 | Multi-column deep neural networks for image classification Dan Cireşan, Ueli Meier, Jürgen Schmidhuber | Jun 2012 | 3,792 |
| 18 | CenterNet: Keypoint Triplets for Object Detection Kaiwen Duan, Song Bai, Lingxi Xie et al. | Oct 2019 | 3,602 |
| 19 | Guided Search 2.0 A revised model of visual search Jeremy M. Wolfe · Psychonomic Bulletin & Review | Jun 1994 | 3,578 |
| 20 | Graph-Based Visual Saliency Jonathan Harel, Christof Koch, Pietro Perona · The MIT Press eBooks | 7 Sep 2007 | 3,495 |
| 21 | Res2Net: A New Multi-Scale Backbone Architecture Shanghua Gao, Ming‐Ming Cheng, Kai Zhao et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 30 Aug 2019 | 3,463 |
| 22 | Saliency Detection: A Spectral Residual Approach Xiaodi Hou, Liqing Zhang | Jun 2007 | 3,456 |
| 23 | A review on the attention mechanism of deep learning Zhaoyang Niu, Guoqiang Zhong, Hui Ling Yu · Neurocomputing | Apr 2021 | 3,382 |
| 24 | Deep neural networks are easily fooled: High confidence predictions for unrecognizable images Anh‐Tu Nguyen, Jason Yosinski, Jeff Clune | Jun 2015 | 3,348 |
| 25 | You Only Look Once: Unified, Real-Time Object Detection Joseph Redmon, Santosh Divvala, Ross Girshick et al. | Jun 2016 | 3,266 |
| 26 | A saliency-based search mechanism for overt and covert shifts of visual attention Laurent Itti, Christof Koch · Vision Research | Jun 2000 | 3,235 |
| 27 | What energy functions can be minimized via graph cuts? Vladimir Kolmogorov, Ramin Zabih · IEEE Transactions on Pattern Analysis and Machine Intelligence | Feb 2004 | 3,159 |
| 28 | A cortical representation of the local visual environment Russell A. Epstein, Nancy Kanwisher · Nature | Apr 1998 | 3,156 |
| 29 | Selective Kernel Networks Xiang Li, Wenhai Wang, Xiaolin Hu et al. | Jun 2019 | 3,134 |
| 30 | Global contrast based salient region detection Ming‐Ming Cheng, Guoxin Zhang, Niloy J. Mitra et al. | Jun 2011 | 3,094 |
| 31 | CCNet: Criss-Cross Attention for Semantic Segmentation Zilong Huang, Xinggang Wang, Lichao Huang et al. | Oct 2019 | 2,968 |
| 32 | A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS Juan R. Terven, Diana Margarita Córdova Esparza, Julio-Alejandro Romero-González · Machine Learning and Knowledge Extraction | 20 Nov 2023 | 2,870 |
| 33 | Saliency Detection via Graph-Based Manifold Ranking Chuan Fu Yang, Lihe Zhang, Huchuan Lu et al. | Jun 2013 | 2,567 |
| 34 | Deep learning for visual understanding: A review Yanming Guo, Yu Liu, Ard Oerlemans et al. · Neurocomputing | 26 Nov 2015 | 2,546 |
| 35 | Attention mechanisms in computer vision: A survey Meng-Hao Guo, Tian-Xing Xu, Jiangjiang Liu et al. · Computational Visual Media | 15 Mar 2022 | 2,519 |
| 36 | Presentation and validation of the Radboud Faces Database Oliver Langner, Ron Dotsch, Gijsbert Bijlstra et al. · Cognition & Emotion | 8 Apr 2010 | 2,514 |
| 37 | U2-Net: Going deeper with nested U-structure for salient object detection Xuebin Qin, Zichen Zhang, Chenyang Huang et al. · Pattern Recognition | 16 May 2020 | 2,428 |
| 38 | To See or not to See: The Need for Attention to Perceive Changes in Scenes Ronald A. Rensink, John O'Regan, James J. Clark · Psychological Science | Sep 1997 | 2,372 |
| 39 | Image-Based Recommendations on Styles and Substitutes Julian McAuley, Christopher Targett, Qinfeng Shi et al. | 4 Aug 2015 | 2,351 |
| 40 | Recurrent Models of Visual Attention Volodymyr Mnih, Nicolas Heess, Alex M Graves et al. · arXiv (Cornell University) | 24 Jun 2014 | 2,272 |
| 41 | Parts and Wholes in Face Recognition James W. Tanaka, Martha J. Farah · The Quarterly Journal of Experimental Psychology Section A | May 1993 | 2,216 |
| 42 | Saliency filters: Contrast based filtering for salient region detection Federico Perazzi, Philipp Krähenbühl, Yael Pritch et al. | Jun 2012 | 2,144 |
| 43 | A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation Federico Perazzi, Jordi Pont-Tuset, Brian McWilliams et al. | Jun 2016 | 2,101 |
| 44 | Learning to predict where humans look Tilke Judd, Krista A. Ehinger, Frédo Durand et al. | Sep 2009 | 2,065 |
| 45 | Structure-Measure: A New Way to Evaluate Foreground Maps Deng-Ping Fan, Ming‐Ming Cheng, Yun Liu et al. | Oct 2017 | 1,934 |
| 46 | Guided search: An alternative to the feature integration model for visual search. Jeremy M. Wolfe, Kyle R. Cave, Susan L. Franzel · Journal of Experimental Psychology Human Perception & Performance | 1989 | 1,868 |
| 47 | State-of-the-Art in Visual Attention Modeling Ali Borji, Laurent Itti · IEEE Transactions on Pattern Analysis and Machine Intelligence | 10 Apr 2012 | 1,857 |
| 48 | Hierarchical Saliency Detection Qiong Yan, Li Xu, Jianping Shi et al. | Jun 2013 | 1,847 |
| 49 | Struck: Structured output tracking with kernels Sam Hare, Amir Saffari, Philip H. S. Torr | Nov 2011 | 1,841 |
| 50 | Learning to Detect a Salient Object Tie Liu, Zejian Yuan, Jian Qiao Sun et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 19 Mar 2010 | 1,821 |
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.