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Joint CNN and Transformer Network via weakly supervised Learning for efficient crowd counting

Joint CNN and Transformer Network via weakly supervised Learning for efficient crowd counting

Fusen Wang
Kai Liu
Fei Long
Nong Sang
Xiaofeng Xia
J. Sang
    ViT
ArXiv (abs)PDFHTML

Papers citing "Joint CNN and Transformer Network via weakly supervised Learning for efficient crowd counting"

4 / 4 papers shown
Title
Vision Transformers for Weakly-Supervised Microorganism Enumeration
Vision Transformers for Weakly-Supervised Microorganism Enumeration
Javier Ureña Santiago
Thomas Ströhle
Antonio Rodríguez-Sánchez
Ruth Breu
ViT
138
0
0
03 Dec 2024
Counting Manatee Aggregations using Deep Neural Networks and Anisotropic Gaussian Kernel
Counting Manatee Aggregations using Deep Neural Networks and Anisotropic Gaussian Kernel
Zhiqiang Wang
Yiran Pang
Cihan Ulus
Xingquan Zhu
55
3
0
04 Nov 2023
RGB-T Multi-Modal Crowd Counting Based on Transformer
RGB-T Multi-Modal Crowd Counting Based on Transformer
Zhengyi Liu
Wei Wu
liuzywen
Guanghui Zhang
ViT
81
11
0
08 Jan 2023
Learning to Count Anything: Reference-less Class-agnostic Counting with Weak Supervision
Learning to Count Anything: Reference-less Class-agnostic Counting with Weak Supervision
Michael A. Hobley
V. Prisacariu
124
42
0
20 May 2022

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