Learning to Count in the Crowd from Limited Labeled Data

7 July 2020

Papers citing "Learning to Count in the Crowd from Limited Labeled Data"

8 / 8 papers shown

Title
Crowd Counting with Sparse Annotation Shiwei Zhang Zhengzheng Wang Qing Liu Fei Wang Wei Ke Tong Zhang 21 0 0 12 Apr 2023
Semi-supervised Crowd Counting via Density Agency Hui Lin Zhiheng Ma Xiaopeng Hong Yao Wang Zhou Su OT 23 29 0 07 Sep 2022
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 29 95 0 10 Jun 2022
CrowdFormer: Weakly-supervised Crowd counting with Improved Generalizability Siddharth Singh Savner Vivek Kanhangad ViT 19 31 0 07 Mar 2022
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 Yongtuo Liu Sucheng Ren Liangyu Chai Han-Zhen Wu Jing Qin Dan Xu Shengfeng He 13 2 0 06 Aug 2021
Leveraging Self-Supervision for Cross-Domain Crowd Counting Weizhe Liu N. Durasov Pascal Fua 13 40 0 30 Mar 2021
Counting from Sky: A Large-scale Dataset for Remote Sensing Object Counting and A Benchmark Method Guangshuai Gao Qingjie Liu Yunhong Wang 13 11 0 28 Aug 2020