Regression Loss
Regression Loss is a type of loss function used in regression tasks that quantifies the discrepancy between predicted continuous values and actual target values, distinguishing itself by specifically measuring errors in the context of continuous outcome prediction.
149
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11.6K
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576
Authors
205
Institutions
Publications per year
2017–2026
136
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149
Deep Ordinal Regression Network for Monocular Depth Estimation
Huan Fu, Mingming Gong, Chaohui Wang et al. · 2018 · 1.9K citations · Full text
Xin Li, Chao Ma, Baoyuan Wu et al. · 2019 · 449 citations
Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression
Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak et al. · 2019 · 446 citations · Full text
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Shanghai Jiao Tong University
Shanghai, China
8 h-index
25 publications
2.5K citations

Chinese Academy of Sciences
Beijing, China
6 h-index
27 publications
1.6K citations
Tsinghua University
Beijing, China
6 h-index
11 publications
532 citations

Xidian University
Xi'an, China
6 h-index
16 publications
380 citations
University of Chinese Academy of Sciences
Beijing, China
5 h-index
13 publications
774 citations
Stanford University
Stanford, United States
4 h-index
8 publications
2.3K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
4 h-index
11 publications
1.8K citations

Beihang University
Beijing, China
4 h-index
12 publications
1.3K citations
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Repository · 23 publications · 1.5K citations
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8 publications · 315 citations
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5 publications · 250 citations
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5 publications · 205 citations
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5 publications · 92 citations
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