Few-shot Scene Classification
Few-Shot Scene Classification is a scene classification paradigm that belongs to the broader category of few-shot learning, distinguished by its focus on recognizing geographic or environmental scenes from a limited number of labeled examples per class.
55
Publications
2.6K
Citations
200
Authors
61
Institutions
Publications per year
2017–2026
55
Parents
55
Robust high-dimensional memory-augmented neural networks
Geethan Karunaratne, Manuel Schmuck, Manuel Le Gallo et al. · Nature Communications · 2021 · 105 citations · Full text
1–5 of 55
200
Chongqing University of Posts and Telecommunications, China
5 publications · 142 citations
5
h-index
Chongqing University of Posts and Telecommunications, China
5 publications · 142 citations
5
h-index
5
h-index
5
h-index
4
h-index
1–5 of 200
61

Northwestern Polytechnical University
Xi'an, China
14 h-index
53 publications
3.3K citations

Chinese Academy of Sciences
Beijing, China
7 h-index
20 publications
1.7K citations
Aerospace Information Research Institute
Beijing, China
5 h-index
15 publications
1.6K citations
Chongqing University of Posts and Telecommunications
Chongqing, China
5 h-index
16 publications
506 citations

Xidian University
Xi'an, China
5 h-index
25 publications
805 citations
Wuhan University
Wuhan, China
4 h-index
19 publications
588 citations

Peking University
Beijing, China
3 h-index
4 publications
320 citations

Central South University
Changsha, China
3 h-index
18 publications
962 citations
1–8 of 61
18 publications · 974 citations
15
h-index
13 publications · 436 citations
12
h-index
GRSL · 3 publications · 82 citations
3
h-index
2 publications · 250 citations
2
h-index
JAG · 2 publications · 113 citations
2
h-index
1–5