Visual Transfer Learning

Visual Transfer Learning is a transfer learning paradigm that leverages knowledge acquired from a source visual domain to improve learning performance in a target visual domain with differing data distributions, thereby distinguishing itself by its focus on cross-domain visual representation adaptation.

212

Publications

22.2K

Citations

727

Authors

245

Institutions

Publications per year

2017–2026

168

Parents

Transfer Learning

Publications

212

Deep visual domain adaptation: A survey

Mei Wang, Weihong Deng · Neurocomputing · 2018 · 2.2K citations · Full text

Computing, Computer Science, Computer Vision +11

Person Transfer GAN to Bridge Domain Gap for Person Re-identification

Longhui Wei, Shiliang Zhang, Wen Gao et al. · 2018 · 2K citations

Computing, Computer Science, Computer Vision +13

Do Better ImageNet Models Transfer Better?

Simon Kornblith, Jonathon Shlens, Quoc V. Le · 2019 · 1.3K citations

Computing, Computer Science, Computer Vision +16

What you saw is not what you get: Domain adaptation using asymmetric kernel transforms

Brian Kulis, Kate Saenko, Trevor Darrell · 2011 · 716 citations

Computing, Computer Science, Computer Vision +16

CyCADA: Cycle-Consistent Adversarial Domain Adaptation

Judy Hoffman, Eric Tzeng, Taesung Park et al. · arXiv (Cornell University) · 2017 · 630 citations · Full text

Computing, Computer Science, Computer Vision +16

1–5 of 212

Authors

727

TD
Trevor Darrell
University of California, Berkeley, United States
8 publications · 1.9K citations
8
h-index
JH
Judy Hoffman
University of California, Berkeley, United States
6 publications · 1.3K citations
6
h-index
CL
Chunyuan Li
Microsoft Research (United Kingdom), United Kingdom
5 publications · 211 citations
5
h-index
LY
Lu Yuan
Microsoft Research (United Kingdom), United Kingdom
5 publications · 725 citations
5
h-index
AA
Alexei A. Efros
University of California, Berkeley, United States
5 publications · 1K citations
5
h-index

1–5 of 727

Institutions

245

1–8 of 245

Venues

arXiv (Cornell University)
Repository · 54 publications · 3.8K citations
28
h-index
Proceedings of the AAAI Conference on Artificial Intelligence
Conference · 8 publications · 361 citations
8
h-index
IEEE Transactions on Neural Networks and Learning Systems
6 publications · 389 citations
6
h-index
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Conference · 5 publications · 488 citations
5
h-index
IEEE Transactions on Pattern Analysis and Machine Intelligence
TPAMI · 5 publications · 303 citations
5
h-index

1–5