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. 2103.16291
  4. Cited By
Leveraging Self-Supervision for Cross-Domain Crowd Counting

Leveraging Self-Supervision for Cross-Domain Crowd Counting

30 March 2021
Weizhe Liu
N. Durasov
Pascal Fua
ArXivPDFHTML

Papers citing "Leveraging Self-Supervision for Cross-Domain Crowd Counting"

8 / 8 papers shown
Title
Dynamic Proxy Domain Generalizes the Crowd Localization by Better Binary Segmentation
Dynamic Proxy Domain Generalizes the Crowd Localization by Better Binary Segmentation
Junyu Gao
Da Zhang
Qiyu Wang
Zhiyuan Zhao
Xuelong Li
36
0
0
22 Apr 2024
Zero-shot Object Counting
Zero-shot Object Counting
Jingyi Xu
Hieu M. Le
Vu Nguyen
Viresh Ranjan
Dimitris Samaras
24
41
0
03 Mar 2023
Forget Less, Count Better: A Domain-Incremental Self-Distillation
  Learning Benchmark for Lifelong Crowd Counting
Forget Less, Count Better: A Domain-Incremental Self-Distillation Learning Benchmark for Lifelong Crowd Counting
Jiaqi Gao
Jingqi Li
Hongming Shan
Yanyun Qu
J. Z. Wang
Fei-Yue Wang
Junping Zhang
25
19
0
06 May 2022
DEBOSH: Deep Bayesian Shape Optimization
DEBOSH: Deep Bayesian Shape Optimization
N. Durasov
Artem Lukoyanov
Jonathan Donier
Pascal Fua
UQCV
AI4CE
27
15
0
28 Sep 2021
Coarse to Fine: Domain Adaptive Crowd Counting via Adversarial Scoring
  Network
Coarse to Fine: Domain Adaptive Crowd Counting via Adversarial Scoring Network
Zhikang Zou
Xiaoye Qu
Pan Zhou
Shuangjie Xu
Xiaoqing Ye
Wenhao Wu
Jinxing Ye
16
32
0
27 Jul 2021
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
216
789
0
26 Aug 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,660
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,134
0
06 Jun 2015
1