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Unsupervised Model Drift Estimation with Batch Normalization Statistics
  for Dataset Shift Detection and Model Selection

Unsupervised Model Drift Estimation with Batch Normalization Statistics for Dataset Shift Detection and Model Selection

1 July 2021
Won-Jo Lee
Seokhyun Byun
Jooeun Kim
Minje Park
Kirill Chechil
    AI4TS
ArXivPDFHTML

Papers citing "Unsupervised Model Drift Estimation with Batch Normalization Statistics for Dataset Shift Detection and Model Selection"

3 / 3 papers shown
Title
DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain
  Medical Images
DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images
Hongzheng Yang
Cheng Chen
Meirui Jiang
Quande Liu
Jianfeng Cao
Pheng Ann Heng
Qi Dou
OOD
22
26
0
27 May 2022
A linearized framework and a new benchmark for model selection for
  fine-tuning
A linearized framework and a new benchmark for model selection for fine-tuning
Aditya Deshpande
Alessandro Achille
Avinash Ravichandran
Hao Li
L. Zancato
Charless C. Fowlkes
Rahul Bhotika
Stefano Soatto
Pietro Perona
ALM
107
46
0
29 Jan 2021
Improving model calibration with accuracy versus uncertainty
  optimization
Improving model calibration with accuracy versus uncertainty optimization
R. Krishnan
Omesh Tickoo
UQCV
183
157
0
14 Dec 2020
1