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Exploring the Limits of Weakly Supervised Pretraining

Exploring the Limits of Weakly Supervised Pretraining

2 May 2018
D. Mahajan
Ross B. Girshick
Vignesh Ramanathan
Kaiming He
Manohar Paluri
Shouqing Yang
Ashwin R. Bharambe
Laurens van der Maaten
    VLM
ArXiv (abs)PDFHTML

Papers citing "Exploring the Limits of Weakly Supervised Pretraining"

50 / 847 papers shown
Title
E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning
E^2VPT: An Effective and Efficient Approach for Visual Prompt TuningIEEE International Conference on Computer Vision (ICCV), 2023
Cheng Han
Qifan Wang
Yiming Cui
Zhiwen Cao
Wenguan Wang
Siyuan Qi
Dongfang Liu
VPVLMVLM
262
88
0
25 Jul 2023
Foundational Models Defining a New Era in Vision: A Survey and Outlook
Foundational Models Defining a New Era in Vision: A Survey and Outlook
Muhammad Awais
Muzammal Naseer
Salman Khan
Rao Muhammad Anwer
Hisham Cholakkal
M. Shah
Ming-Hsuan Yang
Fahad Shahbaz Khan
VLM
408
151
0
25 Jul 2023
A Holistic Assessment of the Reliability of Machine Learning Systems
A Holistic Assessment of the Reliability of Machine Learning Systems
Anthony Corso
David Karamadian
Romeo Valentin
Mary Cooper
Mykel J. Kochenderfer
296
10
0
20 Jul 2023
Self-Supervised Learning for WiFi CSI-Based Human Activity Recognition:
  A Systematic Study
Self-Supervised Learning for WiFi CSI-Based Human Activity Recognition: A Systematic Study
Ke Xu
Jiangtao Wang
Erik Cambria
Dingchang Zheng
152
8
0
19 Jul 2023
Alleviating the Effect of Data Imbalance on Adversarial Training
Alleviating the Effect of Data Imbalance on Adversarial Training
Guanlin Li
Guowen Xu
Tianwei Zhang
226
3
0
14 Jul 2023
Class Instance Balanced Learning for Long-Tailed Classification
Class Instance Balanced Learning for Long-Tailed ClassificationCanadian Conference on Computer and Robot Vision (CRV), 2023
Marc-Antoine Lavoie
Steven Waslander
185
0
0
11 Jul 2023
Co-Learning Meets Stitch-Up for Noisy Multi-label Visual Recognition
Co-Learning Meets Stitch-Up for Noisy Multi-label Visual RecognitionIEEE Transactions on Image Processing (IEEE TIP), 2023
Chao Liang
Zongxin Yang
Linchao Zhu
Yezhou Yang
NoLa
151
11
0
03 Jul 2023
Subclass-balancing Contrastive Learning for Long-tailed Recognition
Subclass-balancing Contrastive Learning for Long-tailed RecognitionIEEE International Conference on Computer Vision (ICCV), 2023
Chengkai Hou
Jieyu Zhang
Hong Wang
Wanrong Zhu
176
43
0
28 Jun 2023
Can Continual Learning Improve Long-Tailed Recognition? Toward a Unified
  Framework
Can Continual Learning Improve Long-Tailed Recognition? Toward a Unified Framework
Mahdiyar Molahasani
Michael A. Greenspan
Ali Etemad
121
2
0
23 Jun 2023
MOFI: Learning Image Representations from Noisy Entity Annotated Images
MOFI: Learning Image Representations from Noisy Entity Annotated ImagesInternational Conference on Learning Representations (ICLR), 2023
Wentao Wu
Aleksei Timofeev
Chen Chen
Bowen Zhang
Kun Duan
...
Yantao Zheng
Jonathon Shlens
Xianzhi Du
Zhe Gan
Yinfei Yang
VLM
210
9
0
13 Jun 2023
WSPAlign: Word Alignment Pre-training via Large-Scale Weakly Supervised
  Span Prediction
WSPAlign: Word Alignment Pre-training via Large-Scale Weakly Supervised Span PredictionAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Qiyu Wu
Masaaki Nagata
Yoshimasa Tsuruoka
130
8
0
09 Jun 2023
RDumb: A simple approach that questions our progress in continual
  test-time adaptation
RDumb: A simple approach that questions our progress in continual test-time adaptationNeural Information Processing Systems (NeurIPS), 2023
Ori Press
Steffen Schneider
Matthias Kümmerer
Matthias Bethge
TTA
258
46
0
08 Jun 2023
Improved Probabilistic Image-Text Representations
Improved Probabilistic Image-Text RepresentationsInternational Conference on Learning Representations (ICLR), 2023
Sanghyuk Chun
VLM
516
44
0
29 May 2023
Three Towers: Flexible Contrastive Learning with Pretrained Image Models
Three Towers: Flexible Contrastive Learning with Pretrained Image ModelsNeural Information Processing Systems (NeurIPS), 2023
Jannik Kossen
Mark Collier
Basil Mustafa
Tianlin Li
Xiaohua Zhai
Lucas Beyer
Andreas Steiner
Jesse Berent
Rodolphe Jenatton
Efi Kokiopoulou
VLM
173
18
0
26 May 2023
On the Trade-off of Intra-/Inter-class Diversity for Supervised
  Pre-training
On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-trainingNeural Information Processing Systems (NeurIPS), 2023
Jieyu Zhang
Bohan Wang
Zhengyu Hu
Pang Wei Koh
Alexander Ratner
160
11
0
20 May 2023
Efficient ConvBN Blocks for Transfer Learning and Beyond
Efficient ConvBN Blocks for Transfer Learning and BeyondInternational Conference on Learning Representations (ICLR), 2023
Kaichao You
Guo Qin
Anchang Bao
Mengsi Cao
Ping Huang
Jiulong Shan
Mingsheng Long
232
2
0
19 May 2023
Adjusting Logit in Gaussian Form for Long-Tailed Visual Recognition
Adjusting Logit in Gaussian Form for Long-Tailed Visual RecognitionIEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
Mengke Li
Yiu-ming Cheung
Yang Lu
Zhikai Hu
Weichao Lan
Hui Huang
192
11
0
18 May 2023
Rapid Adaptation in Online Continual Learning: Are We Evaluating It
  Right?
Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right?IEEE International Conference on Computer Vision (ICCV), 2023
Hasan Hammoud
Christian Schroeder de Witt
Ser-Nam Lim
Juil Sock
Adel Bibi
Guohao Li
CLL
274
21
0
16 May 2023
Online Continual Learning Without the Storage Constraint
Online Continual Learning Without the Storage Constraint
Christian Schroeder de Witt
Yong Deng
P. Dokania
Juil Sock
V. Koltun
Ozan Sener
CLL
351
40
0
16 May 2023
An Inverse Scaling Law for CLIP Training
An Inverse Scaling Law for CLIP TrainingNeural Information Processing Systems (NeurIPS), 2023
Xianhang Li
Zeyu Wang
Cihang Xie
VLMCLIP
261
75
0
11 May 2023
Enhancing Clinical Predictive Modeling through Model Complexity-Driven
  Class Proportion Tuning for Class Imbalanced Data: An Empirical Study on
  Opioid Overdose Prediction
Enhancing Clinical Predictive Modeling through Model Complexity-Driven Class Proportion Tuning for Class Imbalanced Data: An Empirical Study on Opioid Overdose Prediction
Yinan Liu
Xinyu Dong
Weimin Lyu
R. Rosenthal
Rachel Wong
Tengfei Ma
Fusheng Wang
100
0
0
09 May 2023
ImageBind: One Embedding Space To Bind Them All
ImageBind: One Embedding Space To Bind Them AllComputer Vision and Pattern Recognition (CVPR), 2023
Rohit Girdhar
Alaaeldin El-Nouby
Zhuang Liu
Mannat Singh
Kalyan Vasudev Alwala
Armand Joulin
Ishan Misra
VLM
512
1,281
0
09 May 2023
Class-Balancing Diffusion Models
Class-Balancing Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2023
Yiming Qin
Huangjie Zheng
Jiangchao Yao
Mingyuan Zhou
Ya Zhang
DiffM
291
58
0
30 Apr 2023
The Emotions of the Crowd: Learning Image Sentiment from Tweets via
  Cross-modal Distillation
The Emotions of the Crowd: Learning Image Sentiment from Tweets via Cross-modal DistillationEuropean Conference on Artificial Intelligence (ECAI), 2023
Alessio Serra
F. Carrara
Maurizio Tesconi
Fabrizio Falchi
138
5
0
28 Apr 2023
End-to-End Spatio-Temporal Action Localisation with Video Transformers
End-to-End Spatio-Temporal Action Localisation with Video TransformersComputer Vision and Pattern Recognition (CVPR), 2023
A. Gritsenko
Xuehan Xiong
Josip Djolonga
Mostafa Dehghani
Chen Sun
Mario Lucic
Cordelia Schmid
Anurag Arnab
ViT
227
20
0
24 Apr 2023
Semantic-Aware Graph Matching Mechanism for Multi-Label Image
  Recognition
Semantic-Aware Graph Matching Mechanism for Multi-Label Image Recognition
Yanan Wu
Songhe Feng
Yang Wang
188
17
0
21 Apr 2023
Synthetic Data from Diffusion Models Improves ImageNet Classification
Synthetic Data from Diffusion Models Improves ImageNet Classification
Shekoofeh Azizi
Simon Kornblith
Chitwan Saharia
Mohammad Norouzi
David J. Fleet
VLMDiffM
710
385
0
17 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
...
Edouard Grave
Julien Mairal
Patrick Labatut
Armand Joulin
Piotr Bojanowski
VLMCLIPSSL
1.1K
5,829
0
14 Apr 2023
Unicom: Universal and Compact Representation Learning for Image
  Retrieval
Unicom: Universal and Compact Representation Learning for Image RetrievalInternational Conference on Learning Representations (ICLR), 2023
Xiang An
Jiankang Deng
Kaicheng Yang
Jaiwei Li
Ziyong Feng
Jia Guo
Jing Yang
Tongliang Liu
VLMSSL
201
44
0
12 Apr 2023
Reweighted Mixup for Subpopulation Shift
Reweighted Mixup for Subpopulation Shift
Zongbo Han
Zhipeng Liang
Fan Yang
Liu Liu
Lanqing Li
...
P. Zhao
Qinghua Hu
Bing Wu
Changqing Zhang
Jianhua Yao
166
3
0
09 Apr 2023
Long-Tailed Visual Recognition via Self-Heterogeneous Integration with
  Knowledge Excavation
Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge ExcavationComputer Vision and Pattern Recognition (CVPR), 2023
Yang Jin
Mengke Li
Yang Lu
Yiu-ming Cheung
Hanzi Wang
225
46
0
03 Apr 2023
Towards Understanding the Effect of Pretraining Label Granularity
Towards Understanding the Effect of Pretraining Label Granularity
Guanzhe Hong
Huayu Chen
Ariel Fuxman
Stanley H. Chan
Enming Luo
186
2
0
29 Mar 2023
VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking
VideoMAE V2: Scaling Video Masked Autoencoders with Dual MaskingComputer Vision and Pattern Recognition (CVPR), 2023
Limin Wang
Bingkun Huang
Zhiyu Zhao
Zhan Tong
Yinan He
Yi Wang
Yali Wang
Yu Qiao
VGen
311
518
0
29 Mar 2023
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation
Julio Silva-Rodríguez
Jose Dolz
Ismail Ben Ayed
414
18
0
29 Mar 2023
GeoNet: Benchmarking Unsupervised Adaptation across Geographies
GeoNet: Benchmarking Unsupervised Adaptation across GeographiesComputer Vision and Pattern Recognition (CVPR), 2023
Tarun Kalluri
Wangdong Xu
Manmohan Chandraker
OOD
179
18
0
27 Mar 2023
Mind the Backbone: Minimizing Backbone Distortion for Robust Object
  Detection
Mind the Backbone: Minimizing Backbone Distortion for Robust Object Detection
Kuniaki Saito
Donghyun Kim
Piotr Teterwak
Rogerio Feris
Kate Saenko
218
3
0
26 Mar 2023
Joint fMRI Decoding and Encoding with Latent Embedding Alignment
Joint fMRI Decoding and Encoding with Latent Embedding Alignment
Xuelin Qian
Yikai Wang
Yanwei Fu
Xinwei Sun
Xiangyang Xue
Jianfeng Feng
160
8
0
26 Mar 2023
Analyzing Effects of Mixed Sample Data Augmentation on Model Interpretability
Analyzing Effects of Mixed Sample Data Augmentation on Model InterpretabilityNeural Networks (Neural Netw.), 2023
Soyoun Won
Sung-Ho Bae
Seong Tae Kim
187
2
0
26 Mar 2023
The effectiveness of MAE pre-pretraining for billion-scale pretraining
The effectiveness of MAE pre-pretraining for billion-scale pretrainingIEEE International Conference on Computer Vision (ICCV), 2023
Mannat Singh
Quentin Duval
Kalyan Vasudev Alwala
Haoqi Fan
Vaibhav Aggarwal
...
Piotr Dollár
Christoph Feichtenhofer
Ross B. Girshick
Rohit Girdhar
Ishan Misra
LRM
345
85
0
23 Mar 2023
Open-Vocabulary Object Detection using Pseudo Caption Labels
Open-Vocabulary Object Detection using Pseudo Caption Labels
Han-Cheol Cho
Won Young Jhoo
Woohyun Kang
Byungseok Roh
VLMObjD
149
20
0
23 Mar 2023
Large AI Models in Health Informatics: Applications, Challenges, and the
  Future
Large AI Models in Health Informatics: Applications, Challenges, and the FutureIEEE journal of biomedical and health informatics (IEEE JBHI), 2023
Jianing Qiu
Lin Li
Jiankai Sun
Jiachuan Peng
Peilun Shi
...
Bo Xiao
Wu Yuan
Ningli Wang
Dong Xu
Benny Lo
AI4MHLM&MA
244
180
0
21 Mar 2023
Computationally Budgeted Continual Learning: What Does Matter?
Computationally Budgeted Continual Learning: What Does Matter?Computer Vision and Pattern Recognition (CVPR), 2023
Christian Schroeder de Witt
Hasan Hammoud
P. Dokania
Juil Sock
Ser-Nam Lim
Guohao Li
Adel Bibi
CLL
140
74
0
20 Mar 2023
SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel
  Storage
SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel StorageIEEE International Conference on Computer Vision (ICCV), 2023
Song Park
Sanghyuk Chun
Byeongho Heo
Wonjae Kim
Sangdoo Yun
VLMViT
260
9
0
20 Mar 2023
VEIL: Vetting Extracted Image Labels from In-the-Wild Captions for
  Weakly-Supervised Object Detection
VEIL: Vetting Extracted Image Labels from In-the-Wild Captions for Weakly-Supervised Object DetectionConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Arushi Rai
Adriana Kovashka
256
0
0
16 Mar 2023
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness
  with Dataset Reinforcement
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset ReinforcementIEEE International Conference on Computer Vision (ICCV), 2023
Fartash Faghri
Hadi Pouransari
Sachin Mehta
Mehrdad Farajtabar
Ali Farhadi
Mohammad Rastegari
Oncel Tuzel
240
15
0
15 Mar 2023
Long-tailed Classification from a Bayesian-decision-theory Perspective
Long-tailed Classification from a Bayesian-decision-theory Perspective
Bolian Li
Ruqi Zhang
244
1
0
10 Mar 2023
Adapting Contrastive Language-Image Pretrained (CLIP) Models for
  Out-of-Distribution Detection
Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution Detection
Tim Kaiser
Félix D. P. Michels
Nikolas Adaloglou
M. Kollmann
VLM
230
0
0
10 Mar 2023
Rethinking Self-Supervised Visual Representation Learning in
  Pre-training for 3D Human Pose and Shape Estimation
Rethinking Self-Supervised Visual Representation Learning in Pre-training for 3D Human Pose and Shape EstimationInternational Conference on Learning Representations (ICLR), 2023
Hongsuk Choi
Hyeongjin Nam
T. Lee
Gyeongsik Moon
Kyoung Mu Lee
201
7
0
09 Mar 2023
Your representations are in the network: composable and parallel
  adaptation for large scale models
Your representations are in the network: composable and parallel adaptation for large scale modelsNeural Information Processing Systems (NeurIPS), 2023
Yonatan Dukler
Alessandro Achille
Hao Yang
Varsha Vivek
Luca Zancato
Benjamin Bowman
Avinash Ravichandran
Charless C. Fowlkes
A. Swaminathan
Stefano Soatto
261
3
0
07 Mar 2023
Visual Atoms: Pre-training Vision Transformers with Sinusoidal Waves
Visual Atoms: Pre-training Vision Transformers with Sinusoidal WavesComputer Vision and Pattern Recognition (CVPR), 2023
Sora Takashima
Ryo Hayamizu
Nakamasa Inoue
Hirokatsu Kataoka
Rio Yokota
224
25
0
02 Mar 2023
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