Cross-category Transfer
Cross-Category Transfer is a cognitive learning mechanism that enables the application of knowledge or skills acquired in one categorical domain to a distinct but related categorical domain, thereby facilitating generalization across categorization tasks.
103
Publications
6.9K
Citations
284
Authors
170
Institutions
Publications per year
2017–2026
31
Parents
103
Tabula rasa: Model transfer for object category detection
Yusuf Aytar, Andrew Zisserman · 2011 · 344 citations
Designing Category-Level Attributes for Discriminative Visual Recognition
Felix X. Yu, Liangliang Cao, Rogério Feris et al. · 2013 · 208 citations
1–5 of 103
284
3
h-index
3
h-index
2
h-index
2
h-index
2
h-index
1–5 of 284
170
University of Illinois Urbana-Champaign
Urbana, United States
6 h-index
10 publications
583 citations

Bangor University
Bangor, United Kingdom
5 h-index
9 publications
754 citations

University of Exeter
Exeter, United Kingdom
3 h-index
7 publications
156 citations
Arizona State University
Tempe, United States
3 h-index
5 publications
110 citations
University of Iowa
Iowa City, United States
3 h-index
4 publications
377 citations
Columbia University
New York, United States
3 h-index
5 publications
575 citations

University of Edinburgh
Edinburgh, United Kingdom
3 h-index
5 publications
375 citations
Binghamton University
Binghamton, United States
3 h-index
4 publications
144 citations
1–8 of 170
9 publications · 655 citations
9
h-index
4 publications · 453 citations
4
h-index
3 publications · 233 citations
3
h-index
3 publications · 144 citations
3
h-index
3 publications · 85 citations
3
h-index
1–5