Completely Self-Supervised Crowd Counting via Distribution Matching

14 September 2020

Papers citing "Completely Self-Supervised Crowd Counting via Distribution Matching"

9 / 9 papers shown

Title
FocalCount: Towards Class-Count Imbalance in Class-Agnostic Counting Huilin Zhu Jingling Yuan Zhengwei Yang Yu Guo Xian Zhong Shengfeng He 44 0 0 15 Feb 2025
CountGD: Multi-Modal Open-World Counting Niki Amini-Naieni Tengda Han Andrew Zisserman ObjD 64 8 0 05 Jul 2024
Zero-Shot Object Counting with Language-Vision Models Jingyi Xu Hieu M. Le Dimitris Samaras VLM DiffM 35 4 0 22 Sep 2023
Crowd Counting with Sparse Annotation Shiwei Zhang Zhengzheng Wang Qing Liu Fei Wang Wei Ke Tong Zhang 26 0 0 12 Apr 2023
CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model Dingkang Liang Jiahao Xie Zhikang Zou Xiaoqing Ye Wei Xu Xiang Bai SSL CLIP VLM 31 52 0 09 Apr 2023
Zero-shot Object Counting Jingyi Xu Hieu M. Le Vu Nguyen Viresh Ranjan Dimitris Samaras 29 41 0 03 Mar 2023
Glance to Count: Learning to Rank with Anchors for Weakly-supervised Crowd Counting Zheng Xiong Liangyu Chai Wenxi Liu Yongtuo Liu Sucheng Ren Shengfeng He 29 5 0 29 May 2022
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 44 22 0 31 Dec 2020
Self-Supervised Feature Learning by Learning to Spot Artifacts Simon Jenni Paolo Favaro SSL 150 127 0 13 Jun 2018