Multi-task Learning For Computer Vision
Multi-Task Learning for Computer Vision is a machine learning framework that jointly optimizes multiple visual recognition tasks within a shared architecture to improve generalization by leveraging commonalities and complementarities among the tasks.
495
Publications
49.1K
Citations
1.8K
Authors
503
Institutions
Publications per year
2017–2026
407
Parents
495
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Fisher Yu, Haofeng Chen, Xin Wang et al. · 2020 · 2.3K citations
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Chinese Academy of Sciences
Beijing, China
18 h-index
68 publications
5.6K citations
Tsinghua University
Beijing, China
15 h-index
41 publications
2K citations

Sun Yat-sen University
Guangzhou, China
12 h-index
29 publications
3.5K citations
University of Chinese Academy of Sciences
Beijing, China
12 h-index
25 publications
1.7K citations
Nanyang Technological University
Singapore, Singapore
11 h-index
16 publications
905 citations

Beihang University
Beijing, China
10 h-index
24 publications
801 citations
National University of Singapore
Singapore, Singapore
10 h-index
28 publications
1.6K citations
Institute of Automation
Beijing, China
9 h-index
27 publications
1.6K citations
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Repository · 71 publications · 8.6K citations
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TPAMI · 14 publications · 2.8K citations
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13 publications · 530 citations
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Conference · 12 publications · 911 citations
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10 publications · 410 citations
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