ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1808.01050
  4. Cited By
Composition Loss for Counting, Density Map Estimation and Localization
  in Dense Crowds

Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds

2 August 2018
Haroon Idrees
Muhmmad Tayyab
Kishan Athrey
Dong-Ming Zhang
S. Al-Maadeed
Nasir M. Rajpoot
M. Shah
ArXivPDFHTML

Papers citing "Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds"

14 / 114 papers shown
Title
HA-CCN: Hierarchical Attention-based Crowd Counting Network
HA-CCN: Hierarchical Attention-based Crowd Counting Network
Vishwanath A. Sindagi
Vishal M. Patel
20
187
0
24 Jul 2019
Locality-constrained Spatial Transformer Network for Video Crowd
  Counting
Locality-constrained Spatial Transformer Network for Video Crowd Counting
Yanyan Fang
Bi-Sheng Zhan
Wandi Cai
Shenghua Gao
Bo Hu
ViT
27
103
0
18 Jul 2019
C^3 Framework: An Open-source PyTorch Code for Crowd Counting
C^3 Framework: An Open-source PyTorch Code for Crowd Counting
Junyu Gao
Wei Lin
Bingyan Zhao
Dong Wang
Chenyu Gao
Jun Wen
33
87
0
05 Jul 2019
Inverse Attention Guided Deep Crowd Counting Network
Inverse Attention Guided Deep Crowd Counting Network
Vishwanath A. Sindagi
Vishal M. Patel
24
30
0
02 Jul 2019
Dense Scale Network for Crowd Counting
Dense Scale Network for Crowd Counting
Feng Dai
Hao Liu
Yike Ma
Juan Cao
Qiang Zhao
Yongdong Zhang
24
84
0
24 Jun 2019
Locate, Size and Count: Accurately Resolving People in Dense Crowds via
  Detection
Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection
Deepak Babu Sam
Skand Peri
Mukuntha Narayanan Sundararaman
Amogh Kamath
R. Venkatesh Babu
33
227
0
18 Jun 2019
PCC Net: Perspective Crowd Counting via Spatial Convolutional Network
PCC Net: Perspective Crowd Counting via Spatial Convolutional Network
Junyu Gao
Qi. Wang
Xuelong Li
27
208
0
24 May 2019
DENet: A Universal Network for Counting Crowd with Varying Densities and
  Scales
DENet: A Universal Network for Counting Crowd with Varying Densities and Scales
Lei Liu
Jie Jiang
W. Jia
Saeed K. Amirgholipour
Michelle Zeibots
Xiangjian He
30
51
0
17 Apr 2019
Crowd Transformer Network
Crowd Transformer Network
Viresh Ranjan
M. Shah
Minh Hoai Nguyen
ViT
35
9
0
04 Apr 2019
Point in, Box out: Beyond Counting Persons in Crowds
Point in, Box out: Beyond Counting Persons in Crowds
Yuting Liu
Miaojing Shi
Qijun Zhao
Xiaofang Wang
3DPC
30
191
0
02 Apr 2019
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network
Xiaolong Jiang
Zehao Xiao
Baochang Zhang
Xiantong Zhen
Xianbin Cao
David Doermann
Ling Shao
3DV
19
324
0
03 Mar 2019
Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank
Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank
Xialei Liu
Joost van de Weijer
Andrew D. Bagdanov
SSL
33
174
0
17 Feb 2019
PaDNet: Pan-Density Crowd Counting
PaDNet: Pan-Density Crowd Counting
Yukun Tian
Yiming Lei
Junping Zhang
Ming Wang
33
102
0
07 Nov 2018
Class-Agnostic Counting
Class-Agnostic Counting
Erika Lu
Weidi Xie
Andrew Zisserman
11
141
0
01 Nov 2018
Previous
123