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Fixing the train-test resolution discrepancy

Fixing the train-test resolution discrepancy

14 June 2019
Hugo Touvron
Andrea Vedaldi
Matthijs Douze
Hervé Jégou
ArXivPDFHTML

Papers citing "Fixing the train-test resolution discrepancy"

50 / 231 papers shown
Title
Stimulative Training++: Go Beyond The Performance Limits of Residual
  Networks
Stimulative Training++: Go Beyond The Performance Limits of Residual Networks
XinYu Piao
Tong He
DoangJoo Synn
Baopu Li
Tao Chen
Lei Bai
Jong-Kook Kim
44
4
0
04 May 2023
LipsFormer: Introducing Lipschitz Continuity to Vision Transformers
LipsFormer: Introducing Lipschitz Continuity to Vision Transformers
Xianbiao Qi
Jianan Wang
Yihao Chen
Yukai Shi
Lei Zhang
22
16
0
19 Apr 2023
DINOv2: Learning Robust Visual Features without Supervision
DINOv2: Learning Robust Visual Features without Supervision
Maxime Oquab
Timothée Darcet
Théo Moutakanni
Huy Q. Vo
Marc Szafraniec
...
Hervé Jégou
Julien Mairal
Patrick Labatut
Armand Joulin
Piotr Bojanowski
VLM
CLIP
SSL
78
3,011
0
14 Apr 2023
RECLIP: Resource-efficient CLIP by Training with Small Images
RECLIP: Resource-efficient CLIP by Training with Small Images
Runze Li
Dahun Kim
B. Bhanu
Weicheng Kuo
VLM
CLIP
22
12
0
12 Apr 2023
On Efficient Training of Large-Scale Deep Learning Models: A Literature
  Review
On Efficient Training of Large-Scale Deep Learning Models: A Literature Review
Li Shen
Yan Sun
Zhiyuan Yu
Liang Ding
Xinmei Tian
Dacheng Tao
VLM
24
39
0
07 Apr 2023
Frame Flexible Network
Frame Flexible Network
Yitian Zhang
Yue Bai
Chang Liu
Huan Wang
Sheng R. Li
Yun Fu
11
4
0
26 Mar 2023
Induced Feature Selection by Structured Pruning
Induced Feature Selection by Structured Pruning
Nathan Hubens
V. Delvigne
M. Mancas
B. Gosselin
Marius Preda
T. Zaharia
14
0
0
20 Mar 2023
Demystifying What Code Summarization Models Learned
Demystifying What Code Summarization Models Learned
Yu Wang
Ke Wang
10
0
0
04 Mar 2023
Revisiting Adversarial Training for ImageNet: Architectures, Training
  and Generalization across Threat Models
Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat Models
Naman D. Singh
Francesco Croce
Matthias Hein
OOD
32
62
0
03 Mar 2023
Knowledge Distillation in Vision Transformers: A Critical Review
Knowledge Distillation in Vision Transformers: A Critical Review
Gousia Habib
Tausifa Jan Saleem
Brejesh Lall
16
15
0
04 Feb 2023
DynaMIX: Resource Optimization for DNN-Based Real-Time Applications on a
  Multi-Tasking System
DynaMIX: Resource Optimization for DNN-Based Real-Time Applications on a Multi-Tasking System
Minkyoung Cho
K. Shin
19
2
0
03 Feb 2023
RangeAugment: Efficient Online Augmentation with Range Learning
RangeAugment: Efficient Online Augmentation with Range Learning
Sachin Mehta
Saeid Naderiparizi
Fartash Faghri
Maxwell Horton
Lailin Chen
Ali Farhadi
Oncel Tuzel
Mohammad Rastegari
14
6
0
20 Dec 2022
KonX: Cross-Resolution Image Quality Assessment
KonX: Cross-Resolution Image Quality Assessment
Oliver Wiedemann
Vlad Hosu
Shaolin Su
Dietmar Saupe
25
10
0
12 Dec 2022
Learning Imbalanced Data with Vision Transformers
Learning Imbalanced Data with Vision Transformers
Zhengzhuo Xu
R. Liu
Shuo Yang
Zenghao Chai
Chun Yuan
27
32
0
05 Dec 2022
ResFormer: Scaling ViTs with Multi-Resolution Training
ResFormer: Scaling ViTs with Multi-Resolution Training
Rui Tian
Zuxuan Wu
Qiuju Dai
Hang-Rui Hu
Yu Qiao
Yu-Gang Jiang
ViT
19
31
0
01 Dec 2022
CMC v2: Towards More Accurate COVID-19 Detection with Discriminative
  Video Priors
CMC v2: Towards More Accurate COVID-19 Detection with Discriminative Video Priors
Junlin Hou
Jilan Xu
Nan Zhang
Yi Wang
Yuejie Zhang
X. Zhang
Rui Feng
16
2
0
26 Nov 2022
Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition
Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition
Qibin Hou
Cheng Lu
Mingg-Ming Cheng
Jiashi Feng
ViT
23
129
0
22 Nov 2022
EfficientTrain: Exploring Generalized Curriculum Learning for Training
  Visual Backbones
EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones
Yulin Wang
Yang Yue
Rui Lu
Tian-De Liu
Zhaobai Zhong
S. Song
Gao Huang
32
28
0
17 Nov 2022
PatchRot: A Self-Supervised Technique for Training Vision Transformers
PatchRot: A Self-Supervised Technique for Training Vision Transformers
S. Chhabra
Prabal Bijoy Dutta
Hemanth Venkateswara
Baoxin Li
SSL
ViT
10
2
0
27 Oct 2022
End-to-end Transformer for Compressed Video Quality Enhancement
End-to-end Transformer for Compressed Video Quality Enhancement
Li Yu
Wenshuai Chang
Shiyu Wu
M. Gabbouj
ViT
19
8
0
25 Oct 2022
Meta Input: How to Leverage Off-the-Shelf Deep Neural Networks
Meta Input: How to Leverage Off-the-Shelf Deep Neural Networks
Minsu Kim
Youngjoon Yu
Sungjune Park
Y. Ro
OOD
13
0
0
21 Oct 2022
LAD: A Hybrid Deep Learning System for Benign Paroxysmal Positional
  Vertigo Disorders Diagnostic
LAD: A Hybrid Deep Learning System for Benign Paroxysmal Positional Vertigo Disorders Diagnostic
T. Pham
J. Choi
R. Mina
T. Nguyen
Sultan Rizky Hikmawan Madjid
Chang-Dong Yoo
20
9
0
15 Oct 2022
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities
Brian Bartoldson
B. Kailkhura
Davis W. Blalock
29
47
0
13 Oct 2022
S4ND: Modeling Images and Videos as Multidimensional Signals Using State
  Spaces
S4ND: Modeling Images and Videos as Multidimensional Signals Using State Spaces
Eric N. D. Nguyen
Karan Goel
Albert Gu
Gordon W. Downs
Preey Shah
Tri Dao
S. Baccus
Christopher Ré
VLM
22
38
0
12 Oct 2022
A Generalist Framework for Panoptic Segmentation of Images and Videos
A Generalist Framework for Panoptic Segmentation of Images and Videos
Ting-Li Chen
Lala Li
Saurabh Saxena
Geoffrey E. Hinton
David J. Fleet
VGen
MLLM
33
102
0
12 Oct 2022
Large-to-small Image Resolution Asymmetry in Deep Metric Learning
Large-to-small Image Resolution Asymmetry in Deep Metric Learning
Pavel Suma
Giorgos Tolias
18
5
0
11 Oct 2022
TAN Without a Burn: Scaling Laws of DP-SGD
TAN Without a Burn: Scaling Laws of DP-SGD
Tom Sander
Pierre Stock
Alexandre Sablayrolles
FedML
19
42
0
07 Oct 2022
Pix2Struct: Screenshot Parsing as Pretraining for Visual Language
  Understanding
Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding
Kenton Lee
Mandar Joshi
Iulia Turc
Hexiang Hu
Fangyu Liu
Julian Martin Eisenschlos
Urvashi Khandelwal
Peter Shaw
Ming-Wei Chang
Kristina Toutanova
CLIP
VLM
158
263
0
07 Oct 2022
PaLI: A Jointly-Scaled Multilingual Language-Image Model
PaLI: A Jointly-Scaled Multilingual Language-Image Model
Xi Chen
Xiao Wang
Soravit Changpinyo
A. Piergiovanni
Piotr Padlewski
...
Andreas Steiner
A. Angelova
Xiaohua Zhai
N. Houlsby
Radu Soricut
MLLM
VLM
26
682
0
14 Sep 2022
Language Modelling with Pixels
Language Modelling with Pixels
Phillip Rust
Jonas F. Lotz
Emanuele Bugliarello
Elizabeth Salesky
Miryam de Lhoneux
Desmond Elliott
VLM
30
46
0
14 Jul 2022
Vision Transformers: State of the Art and Research Challenges
Vision Transformers: State of the Art and Research Challenges
Bo-Kai Ruan
Hong-Han Shuai
Wen-Huang Cheng
ViT
22
17
0
07 Jul 2022
Efficient Deep Learning Using Non-Volatile Memory Technology
Efficient Deep Learning Using Non-Volatile Memory Technology
A. Inci
Mehmet Meric Isgenc
Diana Marculescu
4
3
0
27 Jun 2022
Learning Towards the Largest Margins
Learning Towards the Largest Margins
Xiong Zhou
Xianming Liu
Deming Zhai
Junjun Jiang
Xin Gao
Xiangyang Ji
22
12
0
23 Jun 2022
Masked Frequency Modeling for Self-Supervised Visual Pre-Training
Masked Frequency Modeling for Self-Supervised Visual Pre-Training
Jiahao Xie
Wei Li
Xiaohang Zhan
Ziwei Liu
Yew-Soon Ong
Chen Change Loy
19
69
0
15 Jun 2022
Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture
  of Experts
Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts
Basil Mustafa
C. Riquelme
J. Puigcerver
Rodolphe Jenatton
N. Houlsby
VLM
MoE
28
183
0
06 Jun 2022
CVNets: High Performance Library for Computer Vision
CVNets: High Performance Library for Computer Vision
Sachin Mehta
Farzad Abdolhosseini
Mohammad Rastegari
16
18
0
04 Jun 2022
CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping
CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping
Junlin Han
L. Petersson
Hongdong Li
Ian Reid
26
9
0
31 May 2022
CNNs Avoid Curse of Dimensionality by Learning on Patches
CNNs Avoid Curse of Dimensionality by Learning on Patches
Vamshi C. Madala
S. Chandrasekaran
Jason Bunk
UQCV
25
5
0
22 May 2022
Domino Saliency Metrics: Improving Existing Channel Saliency Metrics
  with Structural Information
Domino Saliency Metrics: Improving Existing Channel Saliency Metrics with Structural Information
Kaveena Persand
Andrew Anderson
David Gregg
12
0
0
04 May 2022
Flamingo: a Visual Language Model for Few-Shot Learning
Flamingo: a Visual Language Model for Few-Shot Learning
Jean-Baptiste Alayrac
Jeff Donahue
Pauline Luc
Antoine Miech
Iain Barr
...
Mikolaj Binkowski
Ricardo Barreira
Oriol Vinyals
Andrew Zisserman
Karen Simonyan
MLLM
VLM
46
3,326
0
29 Apr 2022
Understanding the impact of image and input resolution on deep digital
  pathology patch classifiers
Understanding the impact of image and input resolution on deep digital pathology patch classifiers
Eu Wern Teh
Graham W. Taylor
6
0
0
29 Apr 2022
R2-Trans:Fine-Grained Visual Categorization with Redundancy Reduction
R2-Trans:Fine-Grained Visual Categorization with Redundancy Reduction
Yu Wang
Shuo Ye
Shujian Yu
Xinge You
22
14
0
21 Apr 2022
DeiT III: Revenge of the ViT
DeiT III: Revenge of the ViT
Hugo Touvron
Matthieu Cord
Hervé Jégou
ViT
37
387
0
14 Apr 2022
Solving ImageNet: a Unified Scheme for Training any Backbone to Top
  Results
Solving ImageNet: a Unified Scheme for Training any Backbone to Top Results
T. Ridnik
Hussam Lawen
Emanuel Ben-Baruch
Asaf Noy
31
11
0
07 Apr 2022
Surface Vision Transformers: Attention-Based Modelling applied to
  Cortical Analysis
Surface Vision Transformers: Attention-Based Modelling applied to Cortical Analysis
Simon Dahan
Abdulah Fawaz
Logan Z. J. Williams
Chunhui Yang
Timothy S. Coalson
M. Glasser
A. Edwards
Daniel Rueckert
E. C. Robinson
MedIm
ViT
22
20
0
30 Mar 2022
ViT-FOD: A Vision Transformer based Fine-grained Object Discriminator
ViT-FOD: A Vision Transformer based Fine-grained Object Discriminator
Zi-Chao Zhang
Zhen-Duo Chen
Yongxin Wang
Xin Luo
Xin-Shun Xu
ViT
22
6
0
24 Mar 2022
Three things everyone should know about Vision Transformers
Three things everyone should know about Vision Transformers
Hugo Touvron
Matthieu Cord
Alaaeldin El-Nouby
Jakob Verbeek
Hervé Jégou
ViT
16
119
0
18 Mar 2022
SC2 Benchmark: Supervised Compression for Split Computing
SC2 Benchmark: Supervised Compression for Split Computing
Yoshitomo Matsubara
Ruihan Yang
Marco Levorato
Stephan Mandt
6
18
0
16 Mar 2022
SuperAnimal pretrained pose estimation models for behavioral analysis
SuperAnimal pretrained pose estimation models for behavioral analysis
Shaokai Ye
Anastasiia Filippova
Jessy Lauer
Steffen Schneider
Maxime Vidal
Tian Qiu
Alexander Mathis
Mackenzie W. Mathis
21
26
0
14 Mar 2022
Model soups: averaging weights of multiple fine-tuned models improves
  accuracy without increasing inference time
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
Mitchell Wortsman
Gabriel Ilharco
S. Gadre
Rebecca Roelofs
Raphael Gontijo-Lopes
...
Hongseok Namkoong
Ali Farhadi
Y. Carmon
Simon Kornblith
Ludwig Schmidt
MoMe
42
906
1
10 Mar 2022
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