Visual Attention and Saliency Detection
Visual Attention and Saliency Detection is a research topic within Computer Vision and Pattern Recognition. Science Explorer counts 17k research works in it since 1953. 19.2% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on computational modeling and detection of visual saliency, including topics such as saliency detection, visual attention, deep learning for salient object detection, analysis of eye movements, image and video segmentation, and the interplay between bottom-up and top-down attention mechanisms.
- Saliency Detection
- Visual Attention
- Salient Object Detection
- Deep Learning
- Eye Movements
- Image Segmentation
- Video Object Segmentation
- Neural Networks
- Bottom-Up Attention
- Top-Down Attention
- Research works
- 17k fractional, since 1953
- In the world top 10%
- 3.2k per year above
- Top-10% rate
- 19.2% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +39% the tick is no change
Which countries lead Visual Attention and Saliency Detection research?
By volume, China and the United States publish the most (2.3k and 528 works in 2022–2025).
By volume, 2022–2025
- 1 China 2.3k works
- 2 United States 528 works
- 3 India 208 works
- 4 United Kingdom 157 works
- 5 Germany 153 works
- 6 Japan 151 works
- 7 South Korea 132 works
- 8 Canada 93 works
- 9 France 76 works
- 10 Italy 67 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Visual Attention and Saliency Detection research?
By volume in 2022–2025, Shanghai Jiao Tong University publishes the most Visual Attention and Saliency Detection research, followed by Xidian University and Tsinghua University.
By volume, 2022–2025
- 1 Shanghai Jiao Tong UniversityChina 44 works
- 2 Xidian UniversityChina 37 works
- 3 Tsinghua UniversityChina 35 works
- 4 Tianjin UniversityChina 33 works
- 5 Beihang UniversityChina 31 works
- 6 Dalian University of TechnologyChina 30 works
- 7 Zhejiang UniversityChina 29 works
- 8 Chinese Academy of SciencesChina 26 works
- 9 University of Electronic Science and Technology of ChinaChina 26 works
- 10 Harbin Institute of TechnologyChina 25 works
Who are the leading researchers in Visual Attention and Saliency Detection?
The most-cited researchers publishing on Visual Attention and Saliency Detection include Andrew Zisserman, Li Fei-Fei and Serge Belongie.
- 1 Andrew Zisserman United Kingdom 25k citations
- 2 Li Fei-Fei United States 17k citations
- 3 Serge Belongie United States 14k citations
- 4 Jitendra Malik United States 12k citations
- 5 Alexander C. Berg United States 9.9k citations
- 6 Wei Liu China 9.7k citations
- 7 Luc Van Gool Switzerland 8.5k citations
- 8 Alan Yuille United States 8.4k citations
- 9 Ming–Hsuan Yang United States 7.4k citations
- 10 Bernt Schiele Germany 6.9k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Visual Attention and Saliency Detection research done?
The largest centres of Visual Attention and Saliency Detection research in 2022–2025 are Beijing (China), Shanghai (China), Xi'an (China) and Nanjing (China).
Where is the best place to study Visual Attention and Saliency Detection?
Among universities, judged by research, Xidian University, City University of Hong Kong and Dalian University of Technology score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Xidian UniversityChina | 75.7 | 30.4% | 11.2× | 37 | +286.5% |
| 2 | City University of Hong KongHong Kong | 70.6 | 44.4% | 6.0× | 16 | +471.5% |
| 3 | Dalian University of TechnologyChina | 69.5 | 39.3% | 7.0× | 30 | +222.8% |
| 4 | Hong Kong University of Science and TechnologyHong Kong | 68.5 | 54.4% | 5.7× | 10 | +188.0% |
| 5 | Beihang UniversityChina | 60.5 | 26.5% | 6.3× | 31 | +241.1% |
| 6 | Nanyang Technological UniversitySingapore | 59.3 | 39.3% | 6.2× | 22 | +11.4% |
| 7 | Anhui UniversityChina | 59.1 | 27.2% | 11.3× | 23 | — |
| 8 | Hangzhou Dianzi UniversityChina | 59.0 | 20.9% | 13.5× | 20 | +131.0% |
| 9 | Zhejiang University of Science and TechnologyChina | 58.8 | 32.8% | 14.8× | 12 | +95.7% |
| 10 | Nankai UniversityChina | 57.9 | 44.2% | 6.7× | 20 | — |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Visual Attention and Saliency Detection research growing?
Output in 2018–2022 was 39% higher than in 2013–2017, peaking in 2023. The fastest-growing topics are Visual Attention and Saliency Detection.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.