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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
Identical Image Retrieval using Deep Learning
Identical Image Retrieval using Deep Learning
Sayan Nath
Nikhil Nayak
VLM
32
1
0
10 May 2022
When does dough become a bagel? Analyzing the remaining mistakes on
  ImageNet
When does dough become a bagel? Analyzing the remaining mistakes on ImageNet
Vijay Vasudevan
Benjamin Caine
Raphael Gontijo-Lopes
Sara Fridovich-Keil
Rebecca Roelofs
VLM
UQCV
35
57
0
09 May 2022
Beyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual
  Context for Image Captioning
Beyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual Context for Image Captioning
Chia-Wen Kuo
Z. Kira
19
52
0
09 May 2022
Large Scale Transfer Learning for Differentially Private Image
  Classification
Large Scale Transfer Learning for Differentially Private Image Classification
Harsh Mehta
Abhradeep Thakurta
Alexey Kurakin
Ashok Cutkosky
9
39
0
06 May 2022
Lifelong Ensemble Learning based on Multiple Representations for
  Few-Shot Object Recognition
Lifelong Ensemble Learning based on Multiple Representations for Few-Shot Object Recognition
H. Kasaei
Songsong Xiong
16
12
0
04 May 2022
Cross-modal Representation Learning for Zero-shot Action Recognition
Cross-modal Representation Learning for Zero-shot Action Recognition
Chung-Ching Lin
Kevin Qinghong Lin
Linjie Li
Lijuan Wang
Zicheng Liu
ViT
16
29
0
03 May 2022
Better plain ViT baselines for ImageNet-1k
Better plain ViT baselines for ImageNet-1k
Lucas Beyer
Xiaohua Zhai
Alexander Kolesnikov
ViT
VLM
33
111
0
03 May 2022
Continual Learning with Foundation Models: An Empirical Study of Latent
  Replay
Continual Learning with Foundation Models: An Empirical Study of Latent Replay
O. Ostapenko
Timothée Lesort
P. Rodríguez
Md Rifat Arefin
Arthur Douillard
Irina Rish
Laurent Charlin
29
50
0
30 Apr 2022
Unlocking High-Accuracy Differentially Private Image Classification
  through Scale
Unlocking High-Accuracy Differentially Private Image Classification through Scale
Soham De
Leonard Berrada
Jamie Hayes
Samuel L. Smith
Borja Balle
28
217
0
28 Apr 2022
DearKD: Data-Efficient Early Knowledge Distillation for Vision
  Transformers
DearKD: Data-Efficient Early Knowledge Distillation for Vision Transformers
Xianing Chen
Qiong Cao
Yujie Zhong
Jing Zhang
Shenghua Gao
Dacheng Tao
ViT
32
76
0
27 Apr 2022
Causal Transportability for Visual Recognition
Causal Transportability for Visual Recognition
Chengzhi Mao
K. Xia
James Wang
Hongya Wang
Junfeng Yang
Elias Bareinboim
Carl Vondrick
CML
OOD
BDL
19
35
0
26 Apr 2022
Adaptive Split-Fusion Transformer
Adaptive Split-Fusion Transformer
Zixuan Su
Hao Zhang
Jingjing Chen
Lei Pang
Chong-Wah Ngo
Yu-Gang Jiang
ViT
19
7
0
26 Apr 2022
Skill-based Meta-Reinforcement Learning
Skill-based Meta-Reinforcement Learning
Taewook Nam
Shao-Hua Sun
Karl Pertsch
S. Hwang
Joseph J. Lim
OffRL
15
45
0
25 Apr 2022
K-LITE: Learning Transferable Visual Models with External Knowledge
K-LITE: Learning Transferable Visual Models with External Knowledge
Sheng Shen
Chunyuan Li
Xiaowei Hu
Jianwei Yang
Yujia Xie
...
Ce Liu
Kurt Keutzer
Trevor Darrell
Anna Rohrbach
Jianfeng Gao
CLIP
VLM
30
83
0
20 Apr 2022
Active Learning Helps Pretrained Models Learn the Intended Task
Active Learning Helps Pretrained Models Learn the Intended Task
Alex Tamkin
Dat Nguyen
Salil Deshpande
Jesse Mu
Noah D. Goodman
18
35
0
18 Apr 2022
Empirical Evaluation and Theoretical Analysis for Representation
  Learning: A Survey
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey
Kento Nozawa
Issei Sato
AI4TS
19
4
0
18 Apr 2022
DeiT III: Revenge of the ViT
DeiT III: Revenge of the ViT
Hugo Touvron
Matthieu Cord
Hervé Jégou
ViT
42
388
0
14 Apr 2022
From Modern CNNs to Vision Transformers: Assessing the Performance,
  Robustness, and Classification Strategies of Deep Learning Models in
  Histopathology
From Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in Histopathology
Maximilian Springenberg
A. Frommholz
M. Wenzel
Eva Weicken
Jackie Ma
Nils Strodthoff
MedIm
25
42
0
11 Apr 2022
DualPrompt: Complementary Prompting for Rehearsal-free Continual
  Learning
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning
Zifeng Wang
Zizhao Zhang
Sayna Ebrahimi
Ruoxi Sun
Han Zhang
...
Xiaoqi Ren
Guolong Su
Vincent Perot
Jennifer Dy
Tomas Pfister
CLL
VLM
VPVLM
28
455
0
10 Apr 2022
Unified Contrastive Learning in Image-Text-Label Space
Unified Contrastive Learning in Image-Text-Label Space
Jianwei Yang
Chunyuan Li
Pengchuan Zhang
Bin Xiao
Ce Liu
Lu Yuan
Jianfeng Gao
VLM
SSL
34
219
0
07 Apr 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious
  Correlations
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations
Polina Kirichenko
Pavel Izmailov
A. Wilson
OOD
34
314
0
06 Apr 2022
MaxViT: Multi-Axis Vision Transformer
MaxViT: Multi-Axis Vision Transformer
Zhengzhong Tu
Hossein Talebi
Han Zhang
Feng Yang
P. Milanfar
A. Bovik
Yinxiao Li
ViT
43
636
0
04 Apr 2022
Exploring Visual Prompts for Adapting Large-Scale Models
Exploring Visual Prompts for Adapting Large-Scale Models
Hyojin Bahng
Ali Jahanian
S. Sankaranarayanan
Phillip Isola
VLM
VPVLM
LRM
25
255
0
31 Mar 2022
Constrained Few-shot Class-incremental Learning
Constrained Few-shot Class-incremental Learning
Michael Hersche
G. Karunaratne
G. Cherubini
Luca Benini
A. Sebastian
Abbas Rahimi
CLL
24
141
0
30 Mar 2022
Understanding out-of-distribution accuracies through quantifying
  difficulty of test samples
Understanding out-of-distribution accuracies through quantifying difficulty of test samples
Berfin Simsek
Melissa Hall
Levent Sagun
23
5
0
28 Mar 2022
DepthFormer: Exploiting Long-Range Correlation and Local Information for
  Accurate Monocular Depth Estimation
DepthFormer: Exploiting Long-Range Correlation and Local Information for Accurate Monocular Depth Estimation
Zhenyu Li
Zehui Chen
Xianming Liu
Junjun Jiang
ViT
MDE
36
183
1
27 Mar 2022
Domino: Discovering Systematic Errors with Cross-Modal Embeddings
Domino: Discovering Systematic Errors with Cross-Modal Embeddings
Sabri Eyuboglu
M. Varma
Khaled Kamal Saab
Jean-Benoit Delbrouck
Christopher Lee-Messer
Jared A. Dunnmon
James Y. Zou
Christopher Ré
22
141
0
24 Mar 2022
Shoring Up the Foundations: Fusing Model Embeddings and Weak Supervision
Shoring Up the Foundations: Fusing Model Embeddings and Weak Supervision
Mayee F. Chen
Daniel Y. Fu
Dyah Adila
Michael Zhang
Frederic Sala
Kayvon Fatahalian
Christopher Ré
27
20
0
24 Mar 2022
ViM: Out-Of-Distribution with Virtual-logit Matching
ViM: Out-Of-Distribution with Virtual-logit Matching
Haoqi Wang
Zhizhong Li
Litong Feng
Wayne Zhang
OODD
20
309
0
21 Mar 2022
Are Vision Transformers Robust to Spurious Correlations?
Are Vision Transformers Robust to Spurious Correlations?
Soumya Suvra Ghosal
Yifei Ming
Yixuan Li
ViT
25
28
0
17 Mar 2022
X-Learner: Learning Cross Sources and Tasks for Universal Visual
  Representation
X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation
Yinan He
Gengshi Huang
Siyu Chen
Jianing Teng
Wang Kun
Zhen-fei Yin
Lu Sheng
Ziwei Liu
Yu Qiao
Jing Shao
VLM
SSL
ViT
37
7
0
16 Mar 2022
Bamboo: Building Mega-Scale Vision Dataset Continually with
  Human-Machine Synergy
Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine Synergy
Yuanhan Zhang
Qi Sun
Yichun Zhou
Zexin He
Zhen-fei Yin
Kunze Wang
Lu Sheng
Yu Qiao
Jing Shao
Ziwei Liu
ObjD
VLM
19
19
0
15 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
48
909
1
10 Mar 2022
Knowledge Distillation as Efficient Pre-training: Faster Convergence,
  Higher Data-efficiency, and Better Transferability
Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability
Ruifei He
Shuyang Sun
Jihan Yang
Song Bai
Xiaojuan Qi
24
36
0
10 Mar 2022
Efficient Image Representation Learning with Federated Sampled Softmax
Efficient Image Representation Learning with Federated Sampled Softmax
Sagar M. Waghmare
Qi
Huizhong Chen
Mikhail Sirotenko
Tomer Meron
FedML
11
2
0
09 Mar 2022
Flat minima generalize for low-rank matrix recovery
Flat minima generalize for low-rank matrix recovery
Lijun Ding
D. Drusvyatskiy
Maryam Fazel
Zaid Harchaoui
26
16
0
07 Mar 2022
Kubric: A scalable dataset generator
Kubric: A scalable dataset generator
Klaus Greff
Francois Belletti
Lucas Beyer
Carl Doersch
Yilun Du
...
Ziyu Wang
Tianhao Wu
K. M. Yi
Fangcheng Zhong
Andrea Tagliasacchi
43
250
0
07 Mar 2022
Algorithmic Regularization in Model-free Overparametrized Asymmetric
  Matrix Factorization
Algorithmic Regularization in Model-free Overparametrized Asymmetric Matrix Factorization
Liwei Jiang
Yudong Chen
Lijun Ding
33
26
0
06 Mar 2022
Aggregated Pyramid Vision Transformer: Split-transform-merge Strategy
  for Image Recognition without Convolutions
Aggregated Pyramid Vision Transformer: Split-transform-merge Strategy for Image Recognition without Convolutions
Ruikang Ju
Ting-Yu Lin
Jen-Shiun Chiang
Jia-Hao Jian
Yu-Shian Lin
Liu-Rui-Yi Huang
ViT
16
1
0
02 Mar 2022
Enhance transferability of adversarial examples with model architecture
Enhance transferability of adversarial examples with model architecture
Mingyuan Fan
Wenzhong Guo
Shengxing Yu
Zuobin Ying
Ximeng Liu
SILM
AAML
11
7
0
28 Feb 2022
SemSup: Semantic Supervision for Simple and Scalable Zero-shot
  Generalization
SemSup: Semantic Supervision for Simple and Scalable Zero-shot Generalization
Austin W. Hanjie
A. Deshpande
Karthik Narasimhan
VLM
36
2
0
26 Feb 2022
Improving generalization with synthetic training data for deep learning
  based quality inspection
Improving generalization with synthetic training data for deep learning based quality inspection
Antoine Cordier
Pierre Gutierrez
Victoire Plessis
19
2
0
25 Feb 2022
ChimeraMix: Image Classification on Small Datasets via Masked Feature
  Mixing
ChimeraMix: Image Classification on Small Datasets via Masked Feature Mixing
Christoph Reinders
Frederik Schubert
Bodo Rosenhahn
14
7
0
23 Feb 2022
Retrieval Augmented Classification for Long-Tail Visual Recognition
Retrieval Augmented Classification for Long-Tail Visual Recognition
Alex Long
Wei Yin
Thalaiyasingam Ajanthan
Vu-Linh Nguyen
Pulak Purkait
Ravi Garg
Alan Blair
Chunhua Shen
A. Hengel
15
107
0
22 Feb 2022
ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for
  Image Recognition and Beyond
ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond
Qiming Zhang
Yufei Xu
Jing Zhang
Dacheng Tao
ViT
24
229
0
21 Feb 2022
Vision Models Are More Robust And Fair When Pretrained On Uncurated
  Images Without Supervision
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
Priya Goyal
Quentin Duval
Isaac Seessel
Mathilde Caron
Ishan Misra
Levent Sagun
Armand Joulin
Piotr Bojanowski
VLM
SSL
26
110
0
16 Feb 2022
Fairness Indicators for Systematic Assessments of Visual Feature
  Extractors
Fairness Indicators for Systematic Assessments of Visual Feature Extractors
Priya Goyal
Adriana Romero Soriano
C. Hazirbas
Levent Sagun
Nicolas Usunier
EGVM
22
31
0
15 Feb 2022
Simple Control Baselines for Evaluating Transfer Learning
Simple Control Baselines for Evaluating Transfer Learning
Andrei Atanov
Shijian Xu
Onur Beker
Andrei Filatov
Amir Zamir
SSL
29
1
0
07 Feb 2022
Towards an Analytical Definition of Sufficient Data
Towards an Analytical Definition of Sufficient Data
Adam Byerly
T. Kalganova
22
4
0
07 Feb 2022
Data Scaling Laws in NMT: The Effect of Noise and Architecture
Data Scaling Laws in NMT: The Effect of Noise and Architecture
Yamini Bansal
Behrooz Ghorbani
Ankush Garg
Biao Zhang
M. Krikun
Colin Cherry
Behnam Neyshabur
Orhan Firat
37
47
0
04 Feb 2022
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