Attention-based Change Detection
Attention-Based Change Detection is a change detection method that employs attention mechanisms to selectively focus on informative regions or features in multi-temporal data, thereby enhancing the model's ability to identify meaningful changes while suppressing irrelevant variations.
188
Publications
19K
Citations
608
Authors
224
Institutions
Publications per year
2017–2026
106
Parents
188
Ronald A. Rensink · Annual Review of Psychology · 2002 · 809 citations
Medicine, Psychology, Vision Science +11
Jie Chen, Ziyang Yuan, Jian Peng et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2020 · 643 citations · Full text
1–5 of 188
608
Nanjing University of Information Science and Technology, China
8 publications · 471 citations
8
h-index
6
h-index
4
h-index
Nanjing University of Information Science and Technology, China
4 publications · 267 citations
4
h-index
4
h-index
1–5 of 608
224
Wuhan University
Wuhan, China
19 h-index
62 publications
8.4K citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
16 h-index
39 publications
3.3K citations

Nanjing University of Information Science and Technology
Nanjing, China
9 h-index
41 publications
2.2K citations

Xidian University
Xi'an, China
9 h-index
45 publications
3.3K citations

Chinese Academy of Sciences
Beijing, China
7 h-index
23 publications
712 citations

Nanjing Forestry University
Nanjing, China
6 h-index
7 publications
372 citations

Sun Yat-sen University
Guangzhou, China
6 h-index
14 publications
3.6K citations
University of Chinese Academy of Sciences
Beijing, China
5 h-index
7 publications
206 citations
1–8 of 224
26 publications · 3K citations
24
h-index
16 publications · 2.4K citations
13
h-index
13 publications · 1K citations
12
h-index
11 publications · 1.4K citations
11
h-index
GRSL · 12 publications · 1.1K citations
10
h-index
1–5