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. 1911.12796
  4. Cited By
Light-weight Calibrator: a Separable Component for Unsupervised Domain
  Adaptation

Light-weight Calibrator: a Separable Component for Unsupervised Domain Adaptation

28 November 2019
Shaokai Ye
Kailu Wu
Mu Zhou
Yunfei Yang
S. Tan
Kaidi Xu
Jiebo Song
Chenglong Bao
Kaisheng Ma
ArXivPDFHTML

Papers citing "Light-weight Calibrator: a Separable Component for Unsupervised Domain Adaptation"

7 / 7 papers shown
Title
Decoupled Doubly Contrastive Learning for Cross Domain Facial Action Unit Detection
Yong Li
Menglin Liu
Zhen Cui
Y. Ding
Yuan Zong
Wenming Zheng
Shiguang Shan
Cuntai Guan
71
0
0
12 Mar 2025
Domain Gap Estimation for Source Free Unsupervised Domain Adaptation
  with Many Classifiers
Domain Gap Estimation for Source Free Unsupervised Domain Adaptation with Many Classifiers
Ziyang Zong
Jun He
Lei Zhang
Hai-quan Huan
26
4
0
12 Jul 2022
Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for
  Pre-trained Language Models
Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models
Ning Ding
Yujia Qin
Guang Yang
Fu Wei
Zonghan Yang
...
Jianfei Chen
Yang Liu
Jie Tang
Juan Li
Maosong Sun
32
196
0
14 Mar 2022
Repaint: Improving the Generalization of Down-Stream Visual Tasks by
  Generating Multiple Instances of Training Examples
Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples
Amin Banitalebi-Dehkordi
Yong Zhang
28
7
0
20 Oct 2021
Generalized Source-free Domain Adaptation
Generalized Source-free Domain Adaptation
Shiqi Yang
Yaxing Wang
Joost van de Weijer
Luis Herranz
Shangling Jui
TTA
38
252
0
03 Aug 2021
DRANet: Disentangling Representation and Adaptation Networks for
  Unsupervised Cross-Domain Adaptation
DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation
Seunghun Lee
Sunghyun Cho
Sunghoon Im
DRL
25
59
0
24 Mar 2021
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
337
1,049
0
10 Feb 2017
1