ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2201.08992
  4. Cited By
Enhancing and Dissecting Crowd Counting By Synthetic Data

Enhancing and Dissecting Crowd Counting By Synthetic Data

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
22 January 2022
Yi Hou
Chengyang Li
Yuheng Lu
Liping Zhu
Yuan Li
Huizhu Jia
Xiaodong Xie
ArXiv (abs)PDFHTML

Papers citing "Enhancing and Dissecting Crowd Counting By Synthetic Data"

3 / 3 papers shown
Mask Focal Loss: A unifying framework for dense crowd counting with
  canonical object detection networks
Mask Focal Loss: A unifying framework for dense crowd counting with canonical object detection networks
Xiaopin Zhong
Guan Wang
Weixiang Liu
Zongze Wu
Yuanlong Deng
459
9
0
22 Dec 2022
Mask-Guided Image Person Removal with Data Synthesis
Mask-Guided Image Person Removal with Data SynthesisIET Image Processing (IIP), 2022
Yunliang Jiang
Chenyang Gu
Zhenfeng Xue
Xiongtao Zhang
Yong-Jin Liu
3DH
257
3
0
29 Sep 2022
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 SignalNeurocomputing (Neurocomputing), 2020
Haoyue Bai
Jiageng Mao
Shueng-Han Gary Chan
436
29
0
31 Dec 2020
1
Page 1 of 1