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EvalNorm: Estimating Batch Normalization Statistics for Evaluation

EvalNorm: Estimating Batch Normalization Statistics for Evaluation

12 April 2019
Saurabh Singh
Abhinav Shrivastava
ArXivPDFHTML

Papers citing "EvalNorm: Estimating Batch Normalization Statistics for Evaluation"

7 / 7 papers shown
Title
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation
Hyesu Lim
Byeonggeun Kim
Jaegul Choo
Sungha Choi
TTA
24
85
0
10 Feb 2023
On the Pitfalls of Batch Normalization for End-to-End Video Learning: A
  Study on Surgical Workflow Analysis
On the Pitfalls of Batch Normalization for End-to-End Video Learning: A Study on Surgical Workflow Analysis
Dominik Rivoir
Isabel Funke
Stefanie Speidel
19
15
0
15 Mar 2022
Diagnosing Batch Normalization in Class Incremental Learning
Diagnosing Batch Normalization in Class Incremental Learning
Minghao Zhou
Quanziang Wang
Jun Shu
Qian Zhao
Deyu Meng
CLL
35
6
0
16 Feb 2022
Understanding AdamW through Proximal Methods and Scale-Freeness
Understanding AdamW through Proximal Methods and Scale-Freeness
Zhenxun Zhuang
Mingrui Liu
Ashok Cutkosky
Francesco Orabona
37
63
0
31 Jan 2022
High-Performance Large-Scale Image Recognition Without Normalization
High-Performance Large-Scale Image Recognition Without Normalization
Andrew Brock
Soham De
Samuel L. Smith
Karen Simonyan
VLM
223
512
0
11 Feb 2021
Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for
  Self-Supervised Learning
Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning
Zeming Li
Songtao Liu
Jian-jun Sun
40
16
0
19 Jan 2021
The Edge of Depth: Explicit Constraints between Segmentation and Depth
The Edge of Depth: Explicit Constraints between Segmentation and Depth
Shengjie Zhu
Garrick Brazil
Xiaoming Liu
MDE
11
104
0
01 Apr 2020
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