Multi-task Depth Estimation
Multi-Task Depth Estimation is a computational framework within depth estimation that jointly learns depth prediction alongside one or more related auxiliary tasks to improve feature representation and overall estimation accuracy through shared learning.
55
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3.9K
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223
Authors
85
Institutions
Publications per year
2017–2026
51
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Towards unified depth and semantic prediction from a single image
Peng Wang, Xiaohui Shen, Zhe Lin et al. · 2015 · 494 citations
Unifying Flow, Stereo and Depth Estimation
Haofei Xu, Jing Zhang, Jianfei Cai et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2023 · 198 citations
Auxiliary Tasks in Multi-task Learning
Lukas Liebel, Marco Körner · arXiv (Cornell University) · 2018 · 178 citations · Full text
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85

The University of Adelaide
Adelaide, Australia
4 h-index
11 publications
746 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
3 h-index
7 publications
724 citations
Tsinghua University
Beijing, China
3 h-index
16 publications
658 citations

National University of Defense Technology
Changsha, China
3 h-index
11 publications
1.5K citations

Monash University
Melbourne, Australia
2 h-index
5 publications
444 citations
Dalian University of Technology
Dalian, China
2 h-index
9 publications
990 citations
Nanjing University of Science and Technology
Nanjing, China
2 h-index
12 publications
759 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
5 publications
202 citations
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Repository · 10 publications · 844 citations
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Conference · 3 publications · 275 citations
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TPAMI · 3 publications · 380 citations
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2 publications · 35 citations
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2 publications · 112 citations
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