Hard Negative Mining
Hard Negative Mining is a passage retrieval technique that identifies and utilizes minimally incorrect or highly plausible negative examples to improve model discrimination by focusing on those instances most likely to be misclassified.
118
Publications
10.1K
Citations
440
Authors
162
Institutions
Publications per year
2017–2026
114
Parents
118
Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-identification
Weihua Chen, Xiaotang Chen, Jianguo Zhang et al. · 2017 · 1.2K citations
Ship detection in SAR images based on an improved faster R-CNN
Jianwei Li, Changwen Qu, Jiaqi Shao · 2017 · 642 citations
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives
Fartash Faghri, David J. Fleet, Jamie Kiros et al. · arXiv (Cornell University) · 2017 · 580 citations · Full text
Deep Metallic Surface Defect Detection: The New Benchmark and Detection Network
Xiaoming Lv, Fajie Duan, Jiajia Jiang et al. · Sensors · 2020 · 534 citations · Full text
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162
University of Chinese Academy of Sciences
Beijing, China
7 h-index
23 publications
5K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
5 h-index
13 publications
879 citations

Chinese Academy of Sciences
Beijing, China
5 h-index
20 publications
772 citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
9 publications
700 citations

Shanghai Jiao Tong University
Shanghai, China
4 h-index
12 publications
332 citations

National University of Defense Technology
Changsha, China
4 h-index
17 publications
1.9K citations
Wuhan University
Wuhan, China
3 h-index
9 publications
561 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
3 h-index
3 publications
386 citations
1–8 of 162
Repository · 17 publications · 1.1K citations
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4 publications · 153 citations
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3 publications · 329 citations
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3 publications · 184 citations
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GRSL · 2 publications · 119 citations
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