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Towards Using Count-level Weak Supervision for Crowd Counting

Towards Using Count-level Weak Supervision for Crowd Counting

29 February 2020
Yinjie Lei
Yan Liu
Pingping Zhang
Lingqiao Liu
ArXivPDFHTML

Papers citing "Towards Using Count-level Weak Supervision for Crowd Counting"

14 / 14 papers shown
Title
CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise Classification
CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise Classification
Yiming Ma
Victor Sanchez
T. Guha
40
3
0
14 Mar 2024
CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model
CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model
Dingkang Liang
Jiahao Xie
Zhikang Zou
Xiaoqing Ye
Wei Xu
Xiang Bai
SSL
CLIP
VLM
26
52
0
09 Apr 2023
GCNet: Probing Self-Similarity Learning for Generalized Counting Network
GCNet: Probing Self-Similarity Learning for Generalized Counting Network
Mingjie Wang
Yande Li
Jun Zhou
Graham W. Taylor
Minglun Gong
21
11
0
10 Feb 2023
Counting Like Human: Anthropoid Crowd Counting on Modeling the
  Similarity of Objects
Counting Like Human: Anthropoid Crowd Counting on Modeling the Similarity of Objects
Qi. Wang
Juncheng Wang
Junyuan Gao
Yuan. Yuan
Xuelong Li
22
2
0
02 Dec 2022
Novel 3D Scene Understanding Applications From Recurrence in a Single
  Image
Novel 3D Scene Understanding Applications From Recurrence in a Single Image
Shimian Zhang
Skanda Bharadwaj
Keaton Kraiger
Yashasvi Asthana
Hong Zhang
R. Collins
Yanxi Liu
28
1
0
14 Oct 2022
Revisiting Crowd Counting: State-of-the-art, Trends, and Future
  Perspectives
Revisiting Crowd Counting: State-of-the-art, Trends, and Future Perspectives
Muhammad Asif Khan
Hamid Menouar
R. Hamila
HAI
28
56
0
14 Sep 2022
Glance to Count: Learning to Rank with Anchors for Weakly-supervised
  Crowd Counting
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
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
36
0
20 May 2022
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
35
19
0
12 Mar 2022
CrowdFormer: Weakly-supervised Crowd counting with Improved
  Generalizability
CrowdFormer: Weakly-supervised Crowd counting with Improved Generalizability
Siddharth Singh Savner
Vivek Kanhangad
ViT
19
31
0
07 Mar 2022
CCTrans: Simplifying and Improving Crowd Counting with Transformer
CCTrans: Simplifying and Improving Crowd Counting with Transformer
Ye Tian
Xiangxiang Chu
Hongpeng Wang
ViT
18
75
0
29 Sep 2021
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
38
22
0
31 Dec 2020
Hierarchical Paired Channel Fusion Network for Street Scene Change
  Detection
Hierarchical Paired Channel Fusion Network for Street Scene Change Detection
Yinjie Lei
Duo Peng
Pingping Zhang
Qiuhong Ke
Haifeng Li
14
72
0
19 Oct 2020
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
446
15,637
0
02 Nov 2015
1