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Completely Self-Supervised Crowd Counting via Distribution Matching

Completely Self-Supervised Crowd Counting via Distribution Matching

14 September 2020
Deepak Babu Sam
Abhinav Agarwalla
Jimmy Joseph
Vishwanath A. Sindagi
R. Venkatesh Babu
Vishal M. Patel
    SSL
ArXiv (abs)PDFHTMLGithub (30★)

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

5 / 5 papers shown
Title
Expanding Zero-Shot Object Counting with Rich Prompts
Expanding Zero-Shot Object Counting with Rich Prompts
Huilin Zhu
Senyao Li
Jingling Yuan
Zhengwei Yang
Yu Guo
Wenxuan Liu
Xian Zhong
Shengfeng He
VLM
154
0
0
21 May 2025
FocalCount: Towards Class-Count Imbalance in Class-Agnostic Counting
FocalCount: Towards Class-Count Imbalance in Class-Agnostic Counting
Huilin Zhu
Jingling Yuan
Zhengwei Yang
Yu Guo
Xian Zhong
Shengfeng He
112
0
0
15 Feb 2025
CountGD: Multi-Modal Open-World Counting
CountGD: Multi-Modal Open-World Counting
Niki Amini-Naieni
Tengda Han
Andrew Zisserman
ObjD
200
20
0
05 Jul 2024
Zero-Shot Object Counting with Language-Vision Models
Zero-Shot Object Counting with Language-Vision Models
Aoxiang Fan
Hieu M. Le
Dimitris Samaras
VLMDiffM
102
6
0
22 Sep 2023
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
174
24
0
31 Dec 2020
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