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Multi-source-free Domain Adaptation via Uncertainty-aware Adaptive
  Distillation

Multi-source-free Domain Adaptation via Uncertainty-aware Adaptive Distillation

9 February 2024
Yaxuan Song
Jianan Fan
Dongnan Liu
Weidong Cai
ArXivPDFHTML

Papers citing "Multi-source-free Domain Adaptation via Uncertainty-aware Adaptive Distillation"

7 / 7 papers shown
Title
Domain Adaptive Nuclei Instance Segmentation and Classification via
  Category-aware Feature Alignment and Pseudo-labelling
Domain Adaptive Nuclei Instance Segmentation and Classification via Category-aware Feature Alignment and Pseudo-labelling
Canran Li
Dongnan Liu
Haoran Li
Zheng Zhang
Guangming Lu
Xiaojun Chang
Weidong (Tom) Cai
59
23
0
04 Jul 2022
Attracting and Dispersing: A Simple Approach for Source-free Domain
  Adaptation
Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation
Shiqi Yang
Yaxing Wang
Kai Wang
Shangling Jui
Joost van de Weijer
60
137
0
09 May 2022
Soft Calibration Objectives for Neural Networks
Soft Calibration Objectives for Neural Networks
A. Karandikar
Nicholas Cain
Dustin Tran
Balaji Lakshminarayanan
Jonathon Shlens
Michael C. Mozer
Becca Roelofs
UQCV
61
88
0
30 Jul 2021
Unsupervised Instance Segmentation in Microscopy Images via Panoptic
  Domain Adaptation and Task Re-weighting
Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-weighting
Dongnan Liu
Donghao Zhang
Yang Song
Fan Zhang
L. O’Donnell
Heng-Chiao Huang
Mei Chen
Weidong (Tom) Cai
77
76
0
05 May 2020
Progressive Domain Adaptation for Object Detection
Progressive Domain Adaptation for Object Detection
Han-Kai Hsu
Chun-Han Yao
Yi-Hsuan Tsai
Wei-Chih Hung
Hung-Yu Tseng
M. Singh
Ming-Hsuan Yang
ObjD
96
307
0
24 Oct 2019
Characterizing and Avoiding Negative Transfer
Characterizing and Avoiding Negative Transfer
Zirui Wang
Zihang Dai
Barnabás Póczós
J. Carbonell
78
413
0
24 Nov 2018
Confounding variables can degrade generalization performance of
  radiological deep learning models
Confounding variables can degrade generalization performance of radiological deep learning models
J. Zech
Marcus A. Badgeley
Manway Liu
A. Costa
J. Titano
Eric K. Oermann
OOD
64
1,165
0
02 Jul 2018
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