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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
Routers in Vision Mixture of Experts: An Empirical Study
Routers in Vision Mixture of Experts: An Empirical Study
Tianlin Liu
Mathieu Blondel
C. Riquelme
J. Puigcerver
MoE
36
3
0
29 Jan 2024
LanDA: Language-Guided Multi-Source Domain Adaptation
LanDA: Language-Guided Multi-Source Domain Adaptation
Zhenbin Wang
Lei Zhang
Lituan Wang
Minjuan Zhu
23
10
0
25 Jan 2024
Facing the Elephant in the Room: Visual Prompt Tuning or Full
  Finetuning?
Facing the Elephant in the Room: Visual Prompt Tuning or Full Finetuning?
Cheng Han
Qifan Wang
Yiming Cui
Wenguan Wang
Lifu Huang
Siyuan Qi
Dongfang Liu
VLM
44
19
0
23 Jan 2024
Cheap Learning: Maximising Performance of Language Models for Social
  Data Science Using Minimal Data
Cheap Learning: Maximising Performance of Language Models for Social Data Science Using Minimal Data
Leonardo Castro-Gonzalez
Yi-Ling Chung
Hannak Rose Kirk
John Francis
Angus R. Williams
Pica Johansson
Jonathan Bright
42
1
0
22 Jan 2024
MINT: A wrapper to make multi-modal and multi-image AI models
  interactive
MINT: A wrapper to make multi-modal and multi-image AI models interactive
Jan Freyberg
Abhijit Guha Roy
Terry Spitz
Beverly Freeman
M. Schaekermann
...
D. Webster
Alan Karthikesalingam
Yun-hui Liu
Krishnamurthy Dvijotham
Umesh Telang
31
0
0
22 Jan 2024
ActionHub: A Large-scale Action Video Description Dataset for Zero-shot
  Action Recognition
ActionHub: A Large-scale Action Video Description Dataset for Zero-shot Action Recognition
Jiaming Zhou
Junwei Liang
Kun-Yu Lin
Jinrui Yang
Wei-Shi Zheng
VLM
16
8
0
22 Jan 2024
Fast Registration of Photorealistic Avatars for VR Facial Animation
Fast Registration of Photorealistic Avatars for VR Facial Animation
Chaitanya Patel
Shaojie Bai
Tenia Wang
Jason M. Saragih
S. Wei
23
0
0
19 Jan 2024
Effective pruning of web-scale datasets based on complexity of concept
  clusters
Effective pruning of web-scale datasets based on complexity of concept clusters
Amro Abbas
E. Rusak
Kushal Tirumala
Wieland Brendel
Kamalika Chaudhuri
Ari S. Morcos
VLM
CLIP
26
22
0
09 Jan 2024
Primitive Geometry Segment Pre-training for 3D Medical Image
  Segmentation
Primitive Geometry Segment Pre-training for 3D Medical Image Segmentation
Ryu Tadokoro
Ryosuke Yamada
Kodai Nakashima
Ryo Nakamura
Hirokatsu Kataoka
17
4
0
08 Jan 2024
Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as
  Programmers
Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers
Aleksandar Stanić
Sergi Caelles
Michael Tschannen
LRM
VLM
23
9
0
03 Jan 2024
Bin-picking of novel objects through category-agnostic-segmentation: RGB
  matters
Bin-picking of novel objects through category-agnostic-segmentation: RGB matters
Prem Raj
S. Bhadang
Gaurav Chaudhary
Laxmidhar Behera
Tushar Sandhan
30
1
0
27 Dec 2023
BIRB: A Generalization Benchmark for Information Retrieval in
  Bioacoustics
BIRB: A Generalization Benchmark for Information Retrieval in Bioacoustics
Jenny Hamer
Eleni Triantafillou
B. V. Merrienboer
Stefan Kahl
Holger Klinck
Tom Denton
Vincent Dumoulin
31
14
0
12 Dec 2023
Remote Sensing Vision-Language Foundation Models without Annotations via
  Ground Remote Alignment
Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment
Utkarsh Mall
Cheng Perng Phoo
Meilin Kelsey Liu
Carl Vondrick
B. Hariharan
Kavita Bala
VLM
17
38
0
12 Dec 2023
Diffusion for Natural Image Matting
Diffusion for Natural Image Matting
Yihan Hu
Yiheng Lin
Wei Wang
Yao-Min Zhao
Yunchao Wei
Humphrey Shi
20
7
0
10 Dec 2023
Bootstrapping SparseFormers from Vision Foundation Models
Bootstrapping SparseFormers from Vision Foundation Models
Ziteng Gao
Zhan Tong
K. Lin
Joya Chen
Mike Zheng Shou
33
0
0
04 Dec 2023
Initializing Models with Larger Ones
Initializing Models with Larger Ones
Zhiqiu Xu
Yanjie Chen
Kirill Vishniakov
Yida Yin
Zhiqiang Shen
Trevor Darrell
Lingjie Liu
Zhuang Liu
28
17
0
30 Nov 2023
Rescuing referral failures during automated diagnosis of domain-shifted
  medical images
Rescuing referral failures during automated diagnosis of domain-shifted medical images
Anuj Srivastava
Karm Patel
Pradeep Shenoy
D. Sridharan
OOD
18
0
0
28 Nov 2023
RankFeat&RankWeight: Rank-1 Feature/Weight Removal for
  Out-of-distribution Detection
RankFeat&RankWeight: Rank-1 Feature/Weight Removal for Out-of-distribution Detection
Yue Song
N. Sebe
Wei Wang
OODD
24
1
0
23 Nov 2023
INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and
  Prognosis
INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis
Shih-Cheng Huang
Zepeng Huo
E. Steinberg
Chia-Chun Chiang
M. Lungren
Curtis P. Langlotz
Serena Yeung
Nigam H. Shah
Jason Alan Fries
LM&MA
25
9
0
17 Nov 2023
A2XP: Towards Private Domain Generalization
A2XP: Towards Private Domain Generalization
Geunhyeok Yu
Hyoseok Hwang
21
0
0
17 Nov 2023
GAIA: Delving into Gradient-based Attribution Abnormality for
  Out-of-distribution Detection
GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution Detection
Jinggang Chen
Junjie Li
Xiaoyang Qu
Jianzong Wang
Jiguang Wan
Jing Xiao
OODD
17
9
0
16 Nov 2023
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy
Kirill Vishniakov
Zhiqiang Shen
Zhuang Liu
CLIP
25
16
0
15 Nov 2023
Domain Aligned CLIP for Few-shot Classification
Domain Aligned CLIP for Few-shot Classification
Muhammad Waleed Gondal
Jochen Gast
Inigo Alonso Ruiz
Richard Droste
Tommaso Macri
Suren Kumar
Luitpold Staudigl
VLM
11
11
0
15 Nov 2023
AI-accelerated Discovery of Altermagnetic Materials
AI-accelerated Discovery of Altermagnetic Materials
Ze-Feng Gao
Shuai Qu
Bocheng Zeng
Y. Liu
Ji-Rong Wen
Hao-Lun Sun
Peng-Jie Guo
Zhong-Yi Lu
20
7
0
08 Nov 2023
The Pursuit of Human Labeling: A New Perspective on Unsupervised
  Learning
The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning
Artyom Gadetsky
Maria Brbić
22
6
0
06 Nov 2023
Sequential Subset Matching for Dataset Distillation
Sequential Subset Matching for Dataset Distillation
Jiawei Du
Qin Shi
Joey Tianyi Zhou
DD
31
27
0
02 Nov 2023
Investigating Relative Performance of Transfer and Meta Learning
Investigating Relative Performance of Transfer and Meta Learning
Benji Alwis
14
0
0
31 Oct 2023
ConvNets Match Vision Transformers at Scale
ConvNets Match Vision Transformers at Scale
Samuel L. Smith
Andrew Brock
Leonard Berrada
Soham De
11
23
0
25 Oct 2023
Data-Free Knowledge Distillation Using Adversarially Perturbed OpenGL
  Shader Images
Data-Free Knowledge Distillation Using Adversarially Perturbed OpenGL Shader Images
Logan Frank
Jim Davis
25
1
0
20 Oct 2023
Quantifying Privacy Risks of Prompts in Visual Prompt Learning
Quantifying Privacy Risks of Prompts in Visual Prompt Learning
Yixin Wu
Rui Wen
Michael Backes
Pascal Berrang
Mathias Humbert
Yun Shen
Yang Zhang
AAML
VPVLM
27
8
0
18 Oct 2023
New Benchmarks for Asian Facial Recognition Tasks: Face Classification
  with Large Foundation Models
New Benchmarks for Asian Facial Recognition Tasks: Face Classification with Large Foundation Models
Jinwoo Seo
Soora Choi
Eungyeom Ha
Beomjune Kim
Dongbin Na
22
0
0
15 Oct 2023
PaLI-3 Vision Language Models: Smaller, Faster, Stronger
PaLI-3 Vision Language Models: Smaller, Faster, Stronger
Xi Chen
Xiao Wang
Lucas Beyer
Alexander Kolesnikov
Jialin Wu
...
Keran Rong
Tianli Yu
Daniel Keysers
Xiao-Qi Zhai
Radu Soricut
MLLM
VLM
30
93
0
13 Oct 2023
EHI: End-to-end Learning of Hierarchical Index for Efficient Dense
  Retrieval
EHI: End-to-end Learning of Hierarchical Index for Efficient Dense Retrieval
Ramnath Kumar
Anshul Mittal
Nilesh Gupta
Aditya Kusupati
Inderjit Dhillon
Prateek Jain
33
0
0
13 Oct 2023
A Recent Survey of Heterogeneous Transfer Learning
A Recent Survey of Heterogeneous Transfer Learning
Runxue Bao
Yiming Sun
Yuhe Gao
Jindong Wang
Qiang Yang
Zhi-Hong Mao
Ye Ye
22
4
0
12 Oct 2023
Prompt Backdoors in Visual Prompt Learning
Prompt Backdoors in Visual Prompt Learning
Hai Huang
Zhengyu Zhao
Michael Backes
Yun Shen
Yang Zhang
VLM
VPVLM
AAML
SILM
35
2
0
11 Oct 2023
Multi-domain improves out-of-distribution and data-limited scenarios for
  medical image analysis
Multi-domain improves out-of-distribution and data-limited scenarios for medical image analysis
Ece Ozkan
Xavier Boix
OOD
20
0
0
10 Oct 2023
Factorized Tensor Networks for Multi-Task and Multi-Domain Learning
Factorized Tensor Networks for Multi-Task and Multi-Domain Learning
Yash Garg
Nebiyou Yismaw
Rakib Hyder
Ashley Prater-Bennette
M. Salman Asif
26
2
0
09 Oct 2023
GeRA: Label-Efficient Geometrically Regularized Alignment
GeRA: Label-Efficient Geometrically Regularized Alignment
Dustin Klebe
Tal Shnitzer
Mikhail Yurochkin
Leonid Karlinsky
Justin Solomon
11
1
0
01 Oct 2023
Understanding and Mitigating the Label Noise in Pre-training on
  Downstream Tasks
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks
Hao Chen
Jindong Wang
Ankit Shah
Ran Tao
Hongxin Wei
Berfin cSimcsek
Masashi Sugiyama
Bhiksha Raj
24
26
0
29 Sep 2023
Masked Autoencoders are Scalable Learners of Cellular Morphology
Masked Autoencoders are Scalable Learners of Cellular Morphology
Oren Z. Kraus
Kian Kenyon-Dean
Saber Saberian
Maryam Fallah
Peter McLean
...
Chi Vicky Cheng
Kristen Morse
Maureen Makes
Ben Mabey
Berton A. Earnshaw
19
14
0
27 Sep 2023
Transferability of Representations Learned using Supervised Contrastive
  Learning Trained on a Multi-Domain Dataset
Transferability of Representations Learned using Supervised Contrastive Learning Trained on a Multi-Domain Dataset
Alvin De Jun Tan
Clement Tan
C. Yeo
23
0
0
27 Sep 2023
SeMAnD: Self-Supervised Anomaly Detection in Multimodal Geospatial
  Datasets
SeMAnD: Self-Supervised Anomaly Detection in Multimodal Geospatial Datasets
Daria Reshetova
Swetava Ganguli
C. V. K. Iyer
Vipul Pandey
18
3
0
26 Sep 2023
Masked Image Residual Learning for Scaling Deeper Vision Transformers
Masked Image Residual Learning for Scaling Deeper Vision Transformers
Guoxi Huang
Hongtao Fu
A. Bors
26
7
0
25 Sep 2023
Spatial-frequency channels, shape bias, and adversarial robustness
Spatial-frequency channels, shape bias, and adversarial robustness
Ajay Subramanian
E. Sizikova
N. Majaj
D. Pelli
AAML
26
22
0
22 Sep 2023
Exploiting CLIP-based Multi-modal Approach for Artwork Classification
  and Retrieval
Exploiting CLIP-based Multi-modal Approach for Artwork Classification and Retrieval
Alberto Baldrati
Marco Bertini
Tiberio Uricchio
A. Bimbo
CLIP
VLM
23
1
0
21 Sep 2023
Sentence Attention Blocks for Answer Grounding
Sentence Attention Blocks for Answer Grounding
Seyedalireza Khoshsirat
Chandra Kambhamettu
31
7
0
20 Sep 2023
Weight Averaging Improves Knowledge Distillation under Domain Shift
Weight Averaging Improves Knowledge Distillation under Domain Shift
Valeriy Berezovskiy
Nikita Morozov
MoMe
19
1
0
20 Sep 2023
AV-MaskEnhancer: Enhancing Video Representations through Audio-Visual
  Masked Autoencoder
AV-MaskEnhancer: Enhancing Video Representations through Audio-Visual Masked Autoencoder
Xingjian Diao
Ming Cheng
Shitong Cheng
VGen
19
8
0
15 Sep 2023
Mitigating Adversarial Attacks in Federated Learning with Trusted
  Execution Environments
Mitigating Adversarial Attacks in Federated Learning with Trusted Execution Environments
Simon Queyrut
V. Schiavoni
Pascal Felber
AAML
FedML
18
6
0
13 Sep 2023
A General-Purpose Self-Supervised Model for Computational Pathology
A General-Purpose Self-Supervised Model for Computational Pathology
Richard J. Chen
Tong Ding
Ming Y. Lu
Drew F. K. Williamson
Guillaume Jaume
...
Judy J. Wang
Walt Williams
L. Le
Georg Gerber
Faisal Mahmood
MedIm
20
42
0
29 Aug 2023
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