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NOH-NMS: Improving Pedestrian Detection by Nearby Objects Hallucination

NOH-NMS: Improving Pedestrian Detection by Nearby Objects Hallucination

27 July 2020
Pengcheng Zhou
Chong Zhou
Pai Peng
Junlong Du
Xing Sun
Xiao-Wei Guo
Feiyue Huang
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Papers citing "NOH-NMS: Improving Pedestrian Detection by Nearby Objects Hallucination"

4 / 4 papers shown
Title
Do We Still Need Non-Maximum Suppression? Accurate Confidence Estimates
  and Implicit Duplication Modeling with IoU-Aware Calibration
Do We Still Need Non-Maximum Suppression? Accurate Confidence Estimates and Implicit Duplication Modeling with IoU-Aware Calibration
Johannes Gilg
Torben Teepe
Fabian Herzog
Philipp Wolters
Gerhard Rigoll
13
1
0
06 Sep 2023
DINF: Dynamic Instance Noise Filter for Occluded Pedestrian Detection
DINF: Dynamic Instance Noise Filter for Occluded Pedestrian Detection
Li Xiang
Miao He
Haibo Luo
Jiajie Xiao
37
0
0
13 Jan 2023
Pedestrian Detection by Exemplar-Guided Contrastive Learning
Pedestrian Detection by Exemplar-Guided Contrastive Learning
Zebin Lin
Wenjie Pei
Fanglin Chen
Dafan Zhang
Guangming Lu
34
18
0
17 Nov 2021
CrowdHuman: A Benchmark for Detecting Human in a Crowd
CrowdHuman: A Benchmark for Detecting Human in a Crowd
Shuai Shao
Zijian Zhao
Boxun Li
Tete Xiao
Gang Yu
Xiangyu Zhang
Jian Sun
222
675
0
30 Apr 2018
1