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Rethinking "Batch" in BatchNorm

Rethinking "Batch" in BatchNorm

17 May 2021
Yuxin Wu
Justin Johnson
    BDL
ArXivPDFHTML

Papers citing "Rethinking "Batch" in BatchNorm"

13 / 13 papers shown
Title
SC3EF: A Joint Self-Correlation and Cross-Correspondence Estimation Framework for Visible and Thermal Image Registration
SC3EF: A Joint Self-Correlation and Cross-Correspondence Estimation Framework for Visible and Thermal Image Registration
Xi Tong
Xing Luo
Jiangxin Yang
Yanpeng Cao
31
0
0
17 Apr 2025
Out-of-distribution Few-shot Learning For Edge Devices without Model
  Fine-tuning
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning
Xinyun Zhang
Lanqing Hong
OODD
33
0
0
13 Apr 2023
INoD: Injected Noise Discriminator for Self-Supervised Representation
  Learning in Agricultural Fields
INoD: Injected Noise Discriminator for Self-Supervised Representation Learning in Agricultural Fields
Julia Hindel
Nikhil Gosala
Kevin Bregler
Abhinav Valada
24
6
0
31 Mar 2023
LOANet: A Lightweight Network Using Object Attention for Extracting
  Buildings and Roads from UAV Aerial Remote Sensing Images
LOANet: A Lightweight Network Using Object Attention for Extracting Buildings and Roads from UAV Aerial Remote Sensing Images
Xiaoxiang Han
Yiman Liu
Gang Liu
Yuanjie Lin
Qiaohong Liu
27
11
0
16 Dec 2022
Video Test-Time Adaptation for Action Recognition
Video Test-Time Adaptation for Action Recognition
Wei Lin
M. Jehanzeb Mirza
Mateusz Koziñski
Horst Possegger
Hilde Kuehne
Horst Bischof
TTA
39
31
0
24 Nov 2022
Modular Degradation Simulation and Restoration for Under-Display Camera
Modular Degradation Simulation and Restoration for Under-Display Camera
Yang Zhou
Yuda Song
Xin Du
29
11
0
23 Sep 2022
RepSR: Training Efficient VGG-style Super-Resolution Networks with
  Structural Re-Parameterization and Batch Normalization
RepSR: Training Efficient VGG-style Super-Resolution Networks with Structural Re-Parameterization and Batch Normalization
Xintao Wang
Chao Dong
Ying Shan
22
48
0
11 May 2022
Learning Instance-Specific Adaptation for Cross-Domain Segmentation
Learning Instance-Specific Adaptation for Cross-Domain Segmentation
Yuliang Zou
Zizhao Zhang
Chun-Liang Li
Han Zhang
Tomas Pfister
Jia-Bin Huang
TTA
OOD
27
14
0
30 Mar 2022
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
A ConvNet for the 2020s
A ConvNet for the 2020s
Zhuang Liu
Hanzi Mao
Chaozheng Wu
Christoph Feichtenhofer
Trevor Darrell
Saining Xie
ViT
42
4,967
0
10 Jan 2022
On the Surrogate Gap between Contrastive and Supervised Losses
On the Surrogate Gap between Contrastive and Supervised Losses
Han Bao
Yoshihiro Nagano
Kento Nozawa
SSL
UQCV
39
19
0
06 Oct 2021
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
Image Generation from Scene Graphs
Image Generation from Scene Graphs
Justin Johnson
Agrim Gupta
Li Fei-Fei
GNN
223
815
0
04 Apr 2018
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