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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

12 March 2022
Fusen Wang
Kai Liu
Fei Long
Nong Sang
Xiaofeng Xia
J. Sang
    ViT
ArXivPDFHTML

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

5 / 5 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
67
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
14
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
10
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
39
35
0
20 May 2022
RepVGG: Making VGG-style ConvNets Great Again
RepVGG: Making VGG-style ConvNets Great Again
Xiaohan Ding
X. Zhang
Ningning Ma
Jungong Han
Guiguang Ding
Jian-jun Sun
117
1,484
0
11 Jan 2021
1