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Active Crowd Counting with Limited Supervision

Active Crowd Counting with Limited Supervision

13 July 2020
Zhen Zhao
Miaojing Shi
Xiaoxiao Zhao
Li Li
ArXivPDFHTML

Papers citing "Active Crowd Counting with Limited Supervision"

7 / 7 papers shown
Title
Boosting Robustness Verification of Semantic Feature Neighborhoods
Boosting Robustness Verification of Semantic Feature Neighborhoods
Anan Kabaha
Dana Drachsler-Cohen
AAML
29
6
0
12 Sep 2022
Redesigning Multi-Scale Neural Network for Crowd Counting
Redesigning Multi-Scale Neural Network for Crowd Counting
Zhipeng Du
Miaojing Shi
Jiankang Deng
S. Zafeiriou
28
44
0
04 Aug 2022
Rethinking Spatial Invariance of Convolutional Networks for Object
  Counting
Rethinking Spatial Invariance of Convolutional Networks for Object Counting
Zhi-Qi Cheng
Qi Dai
Hong Li
JingKuan Song
Xiao-Jun Wu
Alexander G. Hauptmann
3DPC
34
95
0
10 Jun 2022
A Comparative Survey of Deep Active Learning
A Comparative Survey of Deep Active Learning
Xueying Zhan
Qingzhong Wang
Kuan-Hao Huang
Haoyi Xiong
Dejing Dou
Antoni B. Chan
FedML
HAI
22
105
0
25 Mar 2022
Fine-grained Domain Adaptive Crowd Counting via Point-derived
  Segmentation
Fine-grained Domain Adaptive Crowd Counting via Point-derived Segmentation
Yongtuo Liu
Dan Xu
Sucheng Ren
Han-Zhen Wu
Hongmin Cai
Shengfeng He
24
10
0
06 Aug 2021
Reducing Spatial Labeling Redundancy for Semi-supervised Crowd Counting
Reducing Spatial Labeling Redundancy for Semi-supervised Crowd Counting
Yongtuo Liu
Sucheng Ren
Liangyu Chai
Han-Zhen Wu
Jing Qin
Dan Xu
Shengfeng He
13
2
0
06 Aug 2021
A Survey on Deep Learning-based Single Image Crowd Counting: Network
  Design, Loss Function and Supervisory Signal
A Survey on Deep Learning-based Single Image Crowd Counting: Network Design, Loss Function and Supervisory Signal
Haoyue Bai
Jiageng Mao
Shueng-Han Gary Chan
36
22
0
31 Dec 2020
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