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1906.06423
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Fixing the train-test resolution discrepancy
14 June 2019
Hugo Touvron
Andrea Vedaldi
Matthijs Douze
Hervé Jégou
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Papers citing
"Fixing the train-test resolution discrepancy"
31 / 231 papers shown
Title
Self-supervised Neural Architecture Search
Sapir Kaplan
Raja Giryes
SSL
17
12
0
03 Jul 2020
Rethinking Channel Dimensions for Efficient Model Design
Dongyoon Han
Sangdoo Yun
Byeongho Heo
Y. Yoo
3DV
6
83
0
02 Jul 2020
Measuring Robustness to Natural Distribution Shifts in Image Classification
Rohan Taori
Achal Dave
Vaishaal Shankar
Nicholas Carlini
Benjamin Recht
Ludwig Schmidt
OOD
22
530
0
01 Jul 2020
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition
Ionut Cosmin Duta
Li Liu
Fan Zhu
Ling Shao
20
195
0
20 Jun 2020
Semi-Supervised Recognition under a Noisy and Fine-grained Dataset
Cheng Cui
Zhi-xia Ye
Yangxi Li
Xinjian Li
Min Yang
Kai Wei
B. Dai
Yanmei Zhao
Zhongji Liu
Rong Pang
11
5
0
18 Jun 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCL
SSL
15
3,988
0
17 Jun 2020
Are we done with ImageNet?
Lucas Beyer
Olivier J. Hénaff
Alexander Kolesnikov
Xiaohua Zhai
Aaron van den Oord
VLM
8
395
0
12 Jun 2020
Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End
Abdelrahman Eldesokey
M. Felsberg
Karl Holmquist
M. Persson
BDL
UQCV
12
112
0
05 Jun 2020
Hide-and-Seek: A Template for Explainable AI
Thanos Tagaris
A. Stafylopatis
6
6
0
30 Apr 2020
The Cost of Training NLP Models: A Concise Overview
Or Sharir
Barak Peleg
Y. Shoham
15
209
0
19 Apr 2020
Time Series Data Augmentation for Neural Networks by Time Warping with a Discriminative Teacher
Brian Kenji Iwana
S. Uchida
AI4TS
19
86
0
19 Apr 2020
Circumventing Outliers of AutoAugment with Knowledge Distillation
Longhui Wei
Anxiang Xiao
Lingxi Xie
Xin Chen
Xiaopeng Zhang
Qi Tian
8
62
0
25 Mar 2020
Meta Pseudo Labels
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
250
656
0
23 Mar 2020
Fixing the train-test resolution discrepancy: FixEfficientNet
Hugo Touvron
Andrea Vedaldi
Matthijs Douze
Hervé Jégou
AAML
189
110
0
18 Mar 2020
Do CNNs Encode Data Augmentations?
Eddie Q. Yan
Yanping Huang
OOD
11
5
0
29 Feb 2020
MaxUp: A Simple Way to Improve Generalization of Neural Network Training
Chengyue Gong
Tongzheng Ren
Mao Ye
Qiang Liu
AAML
6
56
0
20 Feb 2020
Big Transfer (BiT): General Visual Representation Learning
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
J. Puigcerver
Jessica Yung
Sylvain Gelly
N. Houlsby
MQ
38
1,183
0
24 Dec 2019
What it Thinks is Important is Important: Robustness Transfers through Input Gradients
Alvin Chan
Yi Tay
Yew-Soon Ong
AAML
OOD
9
51
0
11 Dec 2019
Fine-grained Classification of Rowing teams
M.J.A. van Wezel
L. J. Hamburger
Y. Napolean
24
1
0
11 Dec 2019
A Multigrid Method for Efficiently Training Video Models
Chaoxia Wu
Ross B. Girshick
Kaiming He
Christoph Feichtenhofer
Philipp Krahenbuhl
16
94
0
02 Dec 2019
Outside the Box: Abstraction-Based Monitoring of Neural Networks
T. Henzinger
Anna Lukina
Christian Schilling
AAML
25
59
0
20 Nov 2019
Large Scale Open-Set Deep Logo Detection
M. Bastan
Hao Wu
Tianyang Cao
Bhargava Kota
Mehmet Tek
11
13
0
18 Nov 2019
Improve CAM with Auto-adapted Segmentation and Co-supervised Augmentation
Ziyi Kou
Guofeng Cui
Shaojie Wang
Wentian Zhao
Chenliang Xu
WSOL
9
1
0
17 Nov 2019
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie
Minh-Thang Luong
Eduard H. Hovy
Quoc V. Le
NoLa
30
2,358
0
11 Nov 2019
Progressive Compressed Records: Taking a Byte out of Deep Learning Data
Michael Kuchnik
George Amvrosiadis
Virginia Smith
11
9
0
01 Nov 2019
Non-discriminative data or weak model? On the relative importance of data and model resolution
Mark Sandler
Jonathan Baccash
A. Zhmoginov
Andrew G. Howard
6
31
0
07 Sep 2019
Mix & Match: training convnets with mixed image sizes for improved accuracy, speed and scale resiliency
Elad Hoffer
Berry Weinstein
Itay Hubara
Tal Ben-Nun
Torsten Hoefler
Daniel Soudry
11
20
0
12 Aug 2019
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
Claudio Michaelis
Benjamin Mitzkus
Robert Geirhos
E. Rusak
Oliver Bringmann
Alexander S. Ecker
Matthias Bethge
Wieland Brendel
3DPC
19
436
0
17 Jul 2019
Implicit Pairs for Boosting Unpaired Image-to-Image Translation
Y. Ginger
Dov Danon
Hadar Averbuch-Elor
Daniel Cohen-Or
16
2
0
15 Apr 2019
Bag of Tricks for Image Classification with Convolutional Neural Networks
Tong He
Zhi-Li Zhang
Hang Zhang
Zhongyue Zhang
Junyuan Xie
Mu Li
219
1,399
0
04 Dec 2018
Data augmentation instead of explicit regularization
Alex Hernández-García
Peter König
30
141
0
11 Jun 2018
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