37 citations · 175 across the 13 of their papers we have counts for
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cs.LG2021★ 2 cited
Learning Bounds for Open-Set Learning
Zhen Fang, Jie Lu, Anjin Liu +2
Traditional supervised learning aims to train a classifier in the closed-set world, where training and test samples share the same label space. In this paper, we target a more chal…
cs.CV2021★ 37 cited
NMS-Loss: Learning with Non-Maximum Suppression for Crowded Pedestrian Detection
Zekun Luo, Zheng Fang, Sixiao Zheng +2
Non-Maximum Suppression (NMS) is essential for object detection and affects the evaluation results by incorporating False Positives (FP) and False Negatives (FN), especially in cro…