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Big Transfer (BiT): General Visual Representation Learning

Big Transfer (BiT): General Visual Representation Learning

24 December 2019
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
J. Puigcerver
Jessica Yung
Sylvain Gelly
N. Houlsby
    MQ
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Papers citing "Big Transfer (BiT): General Visual Representation Learning"

50 / 724 papers shown
Title
New Insights for the Stability-Plasticity Dilemma in Online Continual
  Learning
New Insights for the Stability-Plasticity Dilemma in Online Continual Learning
Dahuin Jung
Dongjin Lee
Sunwon Hong
Hyemi Jang
Ho Bae
Sungroh Yoon
CLL
26
14
0
17 Feb 2023
Efficiency 360: Efficient Vision Transformers
Efficiency 360: Efficient Vision Transformers
Badri N. Patro
Vijay Srinivas Agneeswaran
21
6
0
16 Feb 2023
A Comprehensive Study of Modern Architectures and Regularization
  Approaches on CheXpert5000
A Comprehensive Study of Modern Architectures and Regularization Approaches on CheXpert5000
Sontje Ihler
Felix Kuhnke
Svenja Spindeldreier
17
1
0
13 Feb 2023
Autoselection of the Ensemble of Convolutional Neural Networks with
  Second-Order Cone Programming
Autoselection of the Ensemble of Convolutional Neural Networks with Second-Order Cone Programming
Buse Çisil Güldoğuş
Abdullah Nazhat Abdullah
Muhammad Ammar Ali
Süreyya Özögür-Akyüz
19
0
0
12 Feb 2023
Scaling Vision Transformers to 22 Billion Parameters
Scaling Vision Transformers to 22 Billion Parameters
Mostafa Dehghani
Josip Djolonga
Basil Mustafa
Piotr Padlewski
Jonathan Heek
...
Mario Luvcić
Xiaohua Zhai
Daniel Keysers
Jeremiah Harmsen
N. Houlsby
MLLM
61
569
0
10 Feb 2023
Beyond In-Domain Scenarios: Robust Density-Aware Calibration
Beyond In-Domain Scenarios: Robust Density-Aware Calibration
Christian Tomani
Futa Waseda
Yuesong Shen
Daniel Cremers
UQCV
16
4
0
10 Feb 2023
The Devil is in the Wrongly-classified Samples: Towards Unified Open-set
  Recognition
The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition
Jun Cen
Di Luan
Shiwei Zhang
Yixuan Pei
Yingya Zhang
Deli Zhao
Shaojie Shen
Qifeng Chen
11
19
0
08 Feb 2023
Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is
  All You Need
Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need
Jingyao Li
Pengguang Chen
Shaozuo Yu
Zexin He
Shu Liu
Jiaya Jia
OODD
22
42
0
06 Feb 2023
Knowledge Distillation in Vision Transformers: A Critical Review
Knowledge Distillation in Vision Transformers: A Critical Review
Gousia Habib
Tausifa Jan Saleem
Brejesh Lall
21
15
0
04 Feb 2023
On the Efficacy of Differentially Private Few-shot Image Classification
On the Efficacy of Differentially Private Few-shot Image Classification
Marlon Tobaben
Aliaksandra Shysheya
J. Bronskill
Andrew J. Paverd
Shruti Tople
Santiago Zanella Béguelin
Richard E. Turner
Antti Honkela
30
11
0
02 Feb 2023
Confidence and Dispersity Speak: Characterising Prediction Matrix for
  Unsupervised Accuracy Estimation
Confidence and Dispersity Speak: Characterising Prediction Matrix for Unsupervised Accuracy Estimation
Weijian Deng
Yumin Suh
Stephen Gould
Liang Zheng
UQCV
21
12
0
02 Feb 2023
Fourier Sensitivity and Regularization of Computer Vision Models
Fourier Sensitivity and Regularization of Computer Vision Models
K. Krishnamachari
See-Kiong Ng
Chuan-Sheng Foo
OOD
20
2
0
31 Jan 2023
Adaptive Computation with Elastic Input Sequence
Adaptive Computation with Elastic Input Sequence
Fuzhao Xue
Valerii Likhosherstov
Anurag Arnab
N. Houlsby
Mostafa Dehghani
Yang You
29
18
0
30 Jan 2023
Benchmarking Robustness to Adversarial Image Obfuscations
Benchmarking Robustness to Adversarial Image Obfuscations
Florian Stimberg
Ayan Chakrabarti
Chun-Ta Lu
Hussein Hazimeh
Otilia Stretcu
...
Merve Kaya
Cyrus Rashtchian
Ariel Fuxman
Mehmet Tek
Sven Gowal
AAML
24
10
0
30 Jan 2023
Massively Scaling Heteroscedastic Classifiers
Massively Scaling Heteroscedastic Classifiers
Mark Collier
Rodolphe Jenatton
Basil Mustafa
N. Houlsby
Jesse Berent
E. Kokiopoulou
26
8
0
30 Jan 2023
Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive
  Smoothing
Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing
Yatong Bai
Brendon G. Anderson
Aerin Kim
Somayeh Sojoudi
AAML
28
18
0
29 Jan 2023
A Closer Look at Few-shot Classification Again
A Closer Look at Few-shot Classification Again
Xu Luo
Hao Wu
Ji Zhang
Lianli Gao
Jing Xu
Jingkuan Song
24
48
0
28 Jan 2023
Learning Customized Visual Models with Retrieval-Augmented Knowledge
Learning Customized Visual Models with Retrieval-Augmented Knowledge
Haotian Liu
Kilho Son
Jianwei Yang
Ce Liu
Jianfeng Gao
Yong Jae Lee
Chunyuan Li
VLM
38
53
0
17 Jan 2023
Does progress on ImageNet transfer to real-world datasets?
Does progress on ImageNet transfer to real-world datasets?
Alex Fang
Simon Kornblith
Ludwig Schmidt
VLM
21
34
0
11 Jan 2023
Advances in Medical Image Analysis with Vision Transformers: A
  Comprehensive Review
Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review
Reza Azad
A. Kazerouni
Moein Heidari
Ehsan Khodapanah Aghdam
Amir Molaei
Yiwei Jia
Abin Jose
Rijo Roy
Dorit Merhof
MedIm
ViT
30
161
0
09 Jan 2023
Robust Meta-Representation Learning via Global Label Inference and
  Classification
Robust Meta-Representation Learning via Global Label Inference and Classification
Ruohan Wang
Isak Falk
Massimiliano Pontil
C. Ciliberto
33
3
0
22 Dec 2022
Reversible Column Networks
Reversible Column Networks
Yuxuan Cai
Yi Zhou
Qi Han
Jianjian Sun
Xiangwen Kong
Jun Yu Li
Xiangyu Zhang
VLM
31
53
0
22 Dec 2022
3D Point Cloud Pre-training with Knowledge Distillation from 2D Images
3D Point Cloud Pre-training with Knowledge Distillation from 2D Images
Yuan Yao
Yuanhan Zhang
Zhen-fei Yin
Jiebo Luo
Wanli Ouyang
Xiaoshui Huang
3DPC
27
10
0
17 Dec 2022
Better May Not Be Fairer: A Study on Subgroup Discrepancy in Image
  Classification
Better May Not Be Fairer: A Study on Subgroup Discrepancy in Image Classification
Ming-Chang Chiu
Pin-Yu Chen
Xuezhe Ma
21
6
0
16 Dec 2022
Reproducible scaling laws for contrastive language-image learning
Reproducible scaling laws for contrastive language-image learning
Mehdi Cherti
Romain Beaumont
Ross Wightman
Mitchell Wortsman
Gabriel Ilharco
Cade Gordon
Christoph Schuhmann
Ludwig Schmidt
J. Jitsev
VLM
CLIP
49
737
0
14 Dec 2022
SEPT: Towards Scalable and Efficient Visual Pre-Training
SEPT: Towards Scalable and Efficient Visual Pre-Training
Yiqi Lin
Huabin Zheng
Huaping Zhong
Jinjing Zhu
Weijia Li
Conghui He
Lin Wang
24
2
0
11 Dec 2022
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One
  Amplifies Others
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others
Zhiheng Li
Ivan Evtimov
Albert Gordo
C. Hazirbas
Tal Hassner
Cristian Canton Ferrer
Chenliang Xu
Mark Ibrahim
26
70
0
09 Dec 2022
Spurious Features Everywhere -- Large-Scale Detection of Harmful
  Spurious Features in ImageNet
Spurious Features Everywhere -- Large-Scale Detection of Harmful Spurious Features in ImageNet
Yannic Neuhaus
Maximilian Augustin
Valentyn Boreiko
Matthias Hein
AAML
29
30
0
09 Dec 2022
MixBoost: Improving the Robustness of Deep Neural Networks by Boosting
  Data Augmentation
MixBoost: Improving the Robustness of Deep Neural Networks by Boosting Data Augmentation
Zhendong Liu
Wenyu Jiang
Min Guo
Chongjun Wang
AAML
21
1
0
08 Dec 2022
Capturing the Flow of Art History
Capturing the Flow of Art History
Chenxi Ji
AI4CE
14
0
0
07 Dec 2022
Robust Speech Recognition via Large-Scale Weak Supervision
Robust Speech Recognition via Large-Scale Weak Supervision
Alec Radford
Jong Wook Kim
Tao Xu
Greg Brockman
C. McLeavey
Ilya Sutskever
OffRL
11
3,273
0
06 Dec 2022
A Trustworthy Framework for Medical Image Analysis with Deep Learning
A Trustworthy Framework for Medical Image Analysis with Deep Learning
Kai Ma
Siyuan He
Pengcheng Xi
Ashkan Ebadi
Stéphane Tremblay
Alexander Wong
MedIm
14
1
0
06 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
Finetune like you pretrain: Improved finetuning of zero-shot vision
  models
Finetune like you pretrain: Improved finetuning of zero-shot vision models
Sachin Goyal
Ananya Kumar
Sankalp Garg
Zico Kolter
Aditi Raghunathan
CLIP
VLM
27
136
0
01 Dec 2022
Procedural Image Programs for Representation Learning
Procedural Image Programs for Representation Learning
Manel Baradad
Chun-Fu
Jonas Wulff
Tongzhou Wang
Rogerio Feris
Antonio Torralba
Phillip Isola
13
18
0
29 Nov 2022
Better Generalized Few-Shot Learning Even Without Base Data
Better Generalized Few-Shot Learning Even Without Base Data
Seongwoong Kim
Dong-Wan Choi
19
7
0
29 Nov 2022
Game Theoretic Mixed Experts for Combinational Adversarial Machine
  Learning
Game Theoretic Mixed Experts for Combinational Adversarial Machine Learning
Ethan Rathbun
Kaleel Mahmood
Sohaib Ahmad
Caiwen Ding
Marten van Dijk
AAML
19
4
0
26 Nov 2022
Delving into Out-of-Distribution Detection with Vision-Language
  Representations
Delving into Out-of-Distribution Detection with Vision-Language Representations
Yifei Ming
Ziyan Cai
Jiuxiang Gu
Yiyou Sun
W. Li
Yixuan Li
VLM
OODD
37
157
0
24 Nov 2022
Differentially Private Image Classification from Features
Differentially Private Image Classification from Features
Harsh Mehta
Walid Krichene
Abhradeep Thakurta
Alexey Kurakin
Ashok Cutkosky
46
7
0
24 Nov 2022
Classification of Melanocytic Nevus Images using BigTransfer (BiT)
Classification of Melanocytic Nevus Images using BigTransfer (BiT)
Sanya Sinha
Nilay Gupta
15
1
0
21 Nov 2022
Neural networks trained with SGD learn distributions of increasing
  complexity
Neural networks trained with SGD learn distributions of increasing complexity
Maria Refinetti
Alessandro Ingrosso
Sebastian Goldt
UQCV
30
41
0
21 Nov 2022
Efficient Generalization Improvement Guided by Random Weight
  Perturbation
Efficient Generalization Improvement Guided by Random Weight Perturbation
Tao Li
Wei Yan
Zehao Lei
Yingwen Wu
Kun Fang
Ming Yang
X. Huang
AAML
35
6
0
21 Nov 2022
A Transformer Framework for Data Fusion and Multi-Task Learning in Smart
  Cities
A Transformer Framework for Data Fusion and Multi-Task Learning in Smart Cities
Alexander C. DeRieux
Walid Saad
W. Zuo
R. Budiarto
M. D. Koerniawan
D. Novitasari
15
1
0
18 Nov 2022
How to Fine-Tune Vision Models with SGD
How to Fine-Tune Vision Models with SGD
Ananya Kumar
Ruoqi Shen
Sébastien Bubeck
Suriya Gunasekar
VLM
6
29
0
17 Nov 2022
InternImage: Exploring Large-Scale Vision Foundation Models with
  Deformable Convolutions
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
Wenhai Wang
Jifeng Dai
Zhe Chen
Zhenhang Huang
Zhiqi Li
...
Tong Lu
Lewei Lu
Hongsheng Li
Xiaogang Wang
Yu Qiao
VLM
36
656
0
10 Nov 2022
Deep Learning based Computer Vision Methods for Complex Traffic
  Environments Perception: A Review
Deep Learning based Computer Vision Methods for Complex Traffic Environments Perception: A Review
Talha Azfar
Jinlong Li
Hongkai Yu
R. Cheu
Yisheng Lv
Ruimin Ke
20
21
0
09 Nov 2022
Harmonizing the object recognition strategies of deep neural networks
  with humans
Harmonizing the object recognition strategies of deep neural networks with humans
Thomas Fel
Ivan Felipe
Drew Linsley
Thomas Serre
30
71
0
08 Nov 2022
Could Giant Pretrained Image Models Extract Universal Representations?
Could Giant Pretrained Image Models Extract Universal Representations?
Yutong Lin
Ze Liu
Zheng-Wei Zhang
Han Hu
Nanning Zheng
Stephen Lin
Yue Cao
VLM
46
9
0
03 Nov 2022
A picture of the space of typical learnable tasks
A picture of the space of typical learnable tasks
Rahul Ramesh
J. Mao
Itay Griniasty
Rubing Yang
H. Teoh
M. Transtrum
J. Sethna
Pratik Chaudhari
SSL
DRL
36
4
0
31 Oct 2022
A simple, efficient and scalable contrastive masked autoencoder for
  learning visual representations
A simple, efficient and scalable contrastive masked autoencoder for learning visual representations
Shlok Kumar Mishra
Joshua Robinson
Huiwen Chang
David Jacobs
Aaron Sarna
Aaron Maschinot
Dilip Krishnan
DiffM
43
30
0
30 Oct 2022
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