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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
Replacing Labeled Real-image Datasets with Auto-generated Contours
Replacing Labeled Real-image Datasets with Auto-generated ContoursComputer Vision and Pattern Recognition (CVPR), 2022
Hirokatsu Kataoka
Ryo Hayamizu
Ryosuke Yamada
Kodai Nakashima
Sora Takashima
Xinyu Zhang
Edgar Josafat Martinez-Noriega
Nakamasa Inoue
Rio Yokota
122
32
0
18 Jun 2022
CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks
CLiMB: A Continual Learning Benchmark for Vision-and-Language TasksNeural Information Processing Systems (NeurIPS), 2022
Tejas Srinivasan
Ting-Yun Chang
Leticia Pinto-Alva
Georgios Chochlakis
Mohammad Rostami
Jesse Thomason
VLMCLL
359
83
0
18 Jun 2022
K-Radar: 4D Radar Object Detection for Autonomous Driving in Various
  Weather Conditions
K-Radar: 4D Radar Object Detection for Autonomous Driving in Various Weather ConditionsNeural Information Processing Systems (NeurIPS), 2022
Dong-Hee Paek
Seung-Hyun Kong
Kevin Tirta Wijaya
510
160
0
16 Jun 2022
Differentiable Top-k Classification Learning
Differentiable Top-k Classification LearningInternational Conference on Machine Learning (ICML), 2022
Felix Petersen
Hilde Kuehne
Christian Borgelt
Oliver Deussen
231
40
0
15 Jun 2022
ReCo: Retrieve and Co-segment for Zero-shot Transfer
ReCo: Retrieve and Co-segment for Zero-shot TransferNeural Information Processing Systems (NeurIPS), 2022
Gyungin Shin
Weidi Xie
Samuel Albanie
VLM
343
119
0
14 Jun 2022
Efficient Heterogeneous Treatment Effect Estimation With Multiple
  Experiments and Multiple Outcomes
Efficient Heterogeneous Treatment Effect Estimation With Multiple Experiments and Multiple Outcomes
Leon Yao
Caroline Lo
Israel Nir
S. Tan
Ariel Evnine
Adam Lerer
A. Peysakhovich
CML
101
7
0
10 Jun 2022
Large Loss Matters in Weakly Supervised Multi-Label Classification
Large Loss Matters in Weakly Supervised Multi-Label ClassificationComputer Vision and Pattern Recognition (CVPR), 2022
Youngwook Kim
Jae Myung Kim
Zeynep Akata
Jungwook Lee
NoLa
176
69
0
08 Jun 2022
Which models are innately best at uncertainty estimation?
Which models are innately best at uncertainty estimation?
Ido Galil
Mohammed Dabbah
Ran El-Yaniv
UQCV
165
5
0
05 Jun 2022
Cannot See the Forest for the Trees: Aggregating Multiple Viewpoints to
  Better Classify Objects in Videos
Cannot See the Forest for the Trees: Aggregating Multiple Viewpoints to Better Classify Objects in VideosComputer Vision and Pattern Recognition (CVPR), 2022
Sukjun Hwang
Miran Heo
Seoung Wug Oh
Seon Joo Kim
VOT
225
5
0
05 Jun 2022
Distilling Knowledge from Object Classification to Aesthetics Assessment
Distilling Knowledge from Object Classification to Aesthetics Assessment
Jingwen Hou
Henghui Ding
Weisi Lin
Weide Liu
Yuming Fang
160
41
0
02 Jun 2022
A Survey on Long-Tailed Visual Recognition
A Survey on Long-Tailed Visual RecognitionInternational Journal of Computer Vision (IJCV), 2022
Pu Cao
He Jiang
Q. Song
Jun Guo
260
160
0
27 May 2022
AdaptFormer: Adapting Vision Transformers for Scalable Visual
  Recognition
AdaptFormer: Adapting Vision Transformers for Scalable Visual RecognitionNeural Information Processing Systems (NeurIPS), 2022
Shoufa Chen
Chongjian Ge
Zhan Tong
Jiangliu Wang
Yibing Song
Jue Wang
Ping Luo
530
913
0
26 May 2022
One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks
One-Pixel Shortcut: on the Learning Preference of Deep Neural NetworksInternational Conference on Learning Representations (ICLR), 2022
Shutong Wu
Sizhe Chen
Cihang Xie
Xiaolin Huang
AAML
191
35
0
24 May 2022
Deep transfer learning for image classification: a survey
Deep transfer learning for image classification: a survey
J. Plested
Musa Phiri
Tom Gedeon
OOD
190
46
0
20 May 2022
Robust and Efficient Medical Imaging with Self-Supervision
Robust and Efficient Medical Imaging with Self-Supervision
Shekoofeh Azizi
Laura J. Culp
Jan Freyberg
Basil Mustafa
Sebastien Baur
...
Geoffrey E. Hinton
N. Houlsby
Alan Karthikesalingam
Mohammad Norouzi
Vivek Natarajan
OOD
187
69
0
19 May 2022
Dimensionality Reduced Training by Pruning and Freezing Parts of a Deep
  Neural Network, a Survey
Dimensionality Reduced Training by Pruning and Freezing Parts of a Deep Neural Network, a SurveyArtificial Intelligence Review (Artif Intell Rev), 2022
Paul Wimmer
Jens Mehnert
Alexandru Paul Condurache
DD
293
33
0
17 May 2022
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised
  Semantic Segmentation and Localization
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and LocalizationComputer Vision and Pattern Recognition (CVPR), 2022
Luke Melas-Kyriazi
Christian Rupprecht
Iro Laina
Andrea Vedaldi
274
185
0
16 May 2022
Importance Weighted Structure Learning for Scene Graph Generation
Importance Weighted Structure Learning for Scene Graph GenerationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Daqing Liu
M. Bober
J. Kittler
290
6
0
14 May 2022
Simple Open-Vocabulary Object Detection with Vision Transformers
Simple Open-Vocabulary Object Detection with Vision Transformers
Matthias Minderer
A. Gritsenko
Austin Stone
Maxim Neumann
Dirk Weissenborn
...
Zhuoran Shen
Tianlin Li
Xiaohua Zhai
Thomas Kipf
N. Houlsby
ObjDCLIPVLMViTOCL
266
364
0
12 May 2022
Learning Visual Styles from Audio-Visual Associations
Learning Visual Styles from Audio-Visual AssociationsEuropean Conference on Computer Vision (ECCV), 2022
Tingle Li
Yichen Liu
Andrew Owens
Hang Zhao
DiffM
164
26
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 ImageNetNeural Information Processing Systems (NeurIPS), 2022
Vijay Vasudevan
Benjamin Caine
Raphael Gontijo-Lopes
Sara Fridovich-Keil
Rebecca Roelofs
VLMUQCV
181
68
0
09 May 2022
Understanding Transfer Learning for Chest Radiograph Clinical Report
  Generation with Modified Transformer Architectures
Understanding Transfer Learning for Chest Radiograph Clinical Report Generation with Modified Transformer Architectures
Edward Vendrow
E. Schonfeld
ViTMedIm
111
4
0
05 May 2022
Domino Saliency Metrics: Improving Existing Channel Saliency Metrics
  with Structural Information
Domino Saliency Metrics: Improving Existing Channel Saliency Metrics with Structural InformationInternational Conference of the Italian Association for Artificial Intelligence (AIxIA), 2022
Kaveena Persand
Andrew Anderson
David Gregg
105
0
0
04 May 2022
CoCa: Contrastive Captioners are Image-Text Foundation Models
CoCa: Contrastive Captioners are Image-Text Foundation Models
Jiahui Yu
Zirui Wang
Vijay Vasudevan
Legg Yeung
Mojtaba Seyedhosseini
Yonghui Wu
VLMCLIPOffRL
555
1,584
0
04 May 2022
Reliable Label Correction is a Good Booster When Learning with Extremely
  Noisy Labels
Reliable Label Correction is a Good Booster When Learning with Extremely Noisy Labels
Kaidi Wang
Xiang Peng
Shuo Yang
Jianfei Yang
Zheng Hua Zhu
Xinchao Wang
Yang You
NoLa
191
9
0
30 Apr 2022
On Negative Sampling for Audio-Visual Contrastive Learning from Movies
On Negative Sampling for Audio-Visual Contrastive Learning from Movies
Mahdi M. Kalayeh
Shervin Ardeshir
Lingyi Liu
Nagendra Kamath
Ashok Chandrashekar
SSL
139
3
0
29 Apr 2022
ELM: Embedding and Logit Margins for Long-Tail Learning
ELM: Embedding and Logit Margins for Long-Tail Learning
Wittawat Jitkrittum
A. Menon
A. S. Rawat
Surinder Kumar
163
13
0
27 Apr 2022
Tag-Based Attention Guided Bottom-Up Approach for Video Instance
  Segmentation
Tag-Based Attention Guided Bottom-Up Approach for Video Instance SegmentationInternational Conference on Pattern Recognition (ICPR), 2022
Jyoti Kini
M. Shah
VOS
159
1
0
22 Apr 2022
Fast AdvProp
Fast AdvPropInternational Conference on Learning Representations (ICLR), 2022
Jieru Mei
Yucheng Han
Yutong Bai
Yixiao Zhang
Yingwei Li
Xianhang Li
Alan Yuille
Cihang Xie
AAML
166
9
0
21 Apr 2022
Optical Remote Sensing Image Understanding with Weak Supervision:
  Concepts, Methods, and Perspectives
Optical Remote Sensing Image Understanding with Weak Supervision: Concepts, Methods, and PerspectivesIEEE Geoscience and Remote Sensing Magazine (GRSM), 2022
Jun Yue
Leyuan Fang
Pedram Ghamisi
Weiying Xie
Jun Li
Jocelyn Chanussot
Antonio J. Plaza
134
52
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
264
5
0
18 Apr 2022
ECCV Caption: Correcting False Negatives by Collecting
  Machine-and-Human-verified Image-Caption Associations for MS-COCO
ECCV Caption: Correcting False Negatives by Collecting Machine-and-Human-verified Image-Caption Associations for MS-COCOEuropean Conference on Computer Vision (ECCV), 2022
Sanghyuk Chun
Wonjae Kim
Song Park
Minsuk Chang
Seong Joon Oh
VLM
1.4K
51
0
07 Apr 2022
Exploring Cross-Domain Pretrained Model for Hyperspectral Image
  Classification
Exploring Cross-Domain Pretrained Model for Hyperspectral Image ClassificationIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2022
Hyungtae Lee
Sungmin Eum
H. Kwon
104
28
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 CorrelationsInternational Conference on Learning Representations (ICLR), 2022
Polina Kirichenko
Pavel Izmailov
A. Wilson
OOD
377
414
0
06 Apr 2022
Proper Reuse of Image Classification Features Improves Object Detection
Proper Reuse of Image Classification Features Improves Object DetectionComputer Vision and Pattern Recognition (CVPR), 2022
C. N. Vasconcelos
Vighnesh Birodkar
Vincent Dumoulin
VLM
193
35
0
01 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
VLMVPVLMLRM
343
337
0
31 Mar 2022
Acknowledging the Unknown for Multi-label Learning with Single Positive
  Labels
Acknowledging the Unknown for Multi-label Learning with Single Positive LabelsEuropean Conference on Computer Vision (ECCV), 2022
Donghao Zhou
Pengfei Chen
Qiong Wang
Guangyong Chen
Pheng-Ann Heng
119
43
0
30 Mar 2022
Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels
Semi-Supervised Learning of Semantic Correspondence with Pseudo-LabelsComputer Vision and Pattern Recognition (CVPR), 2022
Jiwon Kim
Kwang-seok Ryoo
Junyoung Seo
Gyuseong Lee
Daehwan Kim
Hansang Cho
Seung Wook Kim
231
29
0
30 Mar 2022
Interactive Multi-Class Tiny-Object Detection
Interactive Multi-Class Tiny-Object DetectionComputer Vision and Pattern Recognition (CVPR), 2022
C. Lee
Seonwook Park
Heon Song
Jeongun Ryu
Sanghoon Kim
Haejoon Kim
Sérgio Pereira
Donggeun Yoo
170
29
0
29 Mar 2022
A Framework of Meta Functional Learning for Regularising Knowledge
  Transfer
A Framework of Meta Functional Learning for Regularising Knowledge Transfer
Pan Li
Yanwei Fu
S. Gong
88
0
0
28 Mar 2022
Long-Tailed Recognition via Weight Balancing
Long-Tailed Recognition via Weight BalancingComputer Vision and Pattern Recognition (CVPR), 2022
Shaden Alshammari
Yu-Xiong Wang
Deva Ramanan
Shu Kong
MQ
201
181
0
27 Mar 2022
Visual Prompt Tuning
Visual Prompt TuningEuropean Conference on Computer Vision (ECCV), 2022
Menglin Jia
Luming Tang
Bor-Chun Chen
Claire Cardie
Serge Belongie
Bharath Hariharan
Ser-Nam Lim
VLMVPVLM
554
2,189
0
23 Mar 2022
Boost Test-Time Performance with Closed-Loop Inference
Boost Test-Time Performance with Closed-Loop Inference
Shuaicheng Niu
Jiaxiang Wu
Yifan Zhang
Guanghui Xu
Haokun Li
Peilin Zhao
Junzhou Huang
Yaowei Wang
Zhuliang Yu
233
7
0
21 Mar 2022
Upsampling Autoencoder for Self-Supervised Point Cloud Learning
Upsampling Autoencoder for Self-Supervised Point Cloud Learning
Cheng Zhang
Jian Shi
X. Deng
Zizhao Wu
3DPC
274
8
0
21 Mar 2022
Towards 3D Scene Understanding by Referring Synthetic Models
Towards 3D Scene Understanding by Referring Synthetic Models
Runnan Chen
Xinge Zhu
Nenglun Chen
Dawei Wang
Wei Li
Yuexin Ma
Ruigang Yang
Wenping Wang
3DPC
208
6
0
20 Mar 2022
Creating Multimedia Summaries Using Tweets and Videos
Creating Multimedia Summaries Using Tweets and Videos
Anietie U Andy
Siyi Liu
Daphne Ippolito
Reno Kriz
Chris Callison-Burch
Derry Wijaya
127
1
0
16 Mar 2022
X-Learner: Learning Cross Sources and Tasks for Universal Visual
  Representation
X-Learner: Learning Cross Sources and Tasks for Universal Visual RepresentationEuropean Conference on Computer Vision (ECCV), 2022
Yinan He
Gengshi Huang
Siyu Chen
Jianing Teng
Wang Kun
Zhen-fei Yin
Lu Sheng
Ziwei Liu
Yu Qiao
Jing Shao
VLMSSLViT
213
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 SynergyInternational Journal of Computer Vision (IJCV), 2022
Yuanhan Zhang
Qi Sun
Yichun Zhou
Zexin He
Zhen-fei Yin
Kunze Wang
Lu Sheng
Yu Qiao
Jing Shao
Ziwei Liu
ObjDVLM
225
22
0
15 Mar 2022
SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark
  for Semantic and Generative Capabilities
SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark for Semantic and Generative CapabilitiesAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Hsiang-Sheng Tsai
Heng-Jui Chang
Wen-Chin Huang
Zili Huang
Kushal Lakhotia
...
Hsuan-Jui Chen
Shang-Wen Li
Shinji Watanabe
Abdel-rahman Mohamed
Hung-yi Lee
243
122
0
14 Mar 2022
Can I see an Example? Active Learning the Long Tail of Attributes and
  Relations
Can I see an Example? Active Learning the Long Tail of Attributes and RelationsBritish Machine Vision Conference (BMVC), 2022
Tyler L. Hayes
Maximilian Nickel
Christopher Kanan
Ludovic Denoyer
Arthur Szlam
VLM
151
3
0
11 Mar 2022
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