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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
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
1.2K
4,653
0
17 Jun 2020
Generalization by Recognizing Confusion
Generalization by Recognizing Confusion
Daniel Chiu
Franklyn Wang
S. Kominers
NoLa
57
0
0
13 Jun 2020
Are we done with ImageNet?
Are we done with ImageNet?
Lucas Beyer
Olivier J. Hénaff
Alexander Kolesnikov
Xiaohua Zhai
Aaron van den Oord
VLM
347
455
0
12 Jun 2020
Rethinking Pre-training and Self-training
Rethinking Pre-training and Self-trainingNeural Information Processing Systems (NeurIPS), 2020
Barret Zoph
Golnaz Ghiasi
Nayeon Lee
Huayu Chen
Hanxiao Liu
E. D. Cubuk
Quoc V. Le
SSeg
317
705
0
11 Jun 2020
VirTex: Learning Visual Representations from Textual Annotations
VirTex: Learning Visual Representations from Textual AnnotationsComputer Vision and Pattern Recognition (CVPR), 2020
Karan Desai
Justin Johnson
SSLVLM
468
465
0
11 Jun 2020
Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning
  to End
Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End
Abdelrahman Eldesokey
Michael Felsberg
Karl Holmquist
M. Persson
BDLUQCV
147
127
0
05 Jun 2020
FBNetV3: Joint Architecture-Recipe Search using Predictor Pretraining
FBNetV3: Joint Architecture-Recipe Search using Predictor Pretraining
Xiaoliang Dai
Alvin Wan
Peizhao Zhang
Bichen Wu
Zijian He
...
Kan Chen
Yuandong Tian
Matthew Yu
Peter Vajda
Joseph E. Gonzalez
360
75
0
03 Jun 2020
Resolving Class Imbalance in Object Detection with Weighted Cross
  Entropy Losses
Resolving Class Imbalance in Object Detection with Weighted Cross Entropy Losses
Trong Huy Phan
Kazuma Yamamoto
133
87
0
02 Jun 2020
Large-Scale Object Detection in the Wild from Imbalanced Multi-Labels
Large-Scale Object Detection in the Wild from Imbalanced Multi-Labels
Junran Peng
Xingyuan Bu
Ming Sun
Zhaoxiang Zhang
Tieniu Tan
Junjie Yan
VLMObjD
202
66
0
18 May 2020
deepSELF: An Open Source Deep Self End-to-End Learning Framework
deepSELF: An Open Source Deep Self End-to-End Learning Framework
Tomoya Koike
Kun Qian
Björn W. Schuller
Yoshiharu Yamamoto
SLRHAI
102
3
0
11 May 2020
Improving Semantic Segmentation via Self-Training
Improving Semantic Segmentation via Self-Training
Yi Zhu
Zhongyue Zhang
Chongruo Wu
Zhi-Li Zhang
Tong He
Hang Zhang
R. Manmatha
Mu Li
Alex Smola
VLMSSL
182
58
0
30 Apr 2020
Gradient-Induced Co-Saliency Detection
Gradient-Induced Co-Saliency DetectionEuropean Conference on Computer Vision (ECCV), 2020
Zhao Zhang
Wenda Jin
Jun Xu
Ming-Ming Cheng
229
127
0
28 Apr 2020
Augmenting Transformers with KNN-Based Composite Memory for Dialogue
Augmenting Transformers with KNN-Based Composite Memory for DialogueTransactions of the Association for Computational Linguistics (TACL), 2020
Angela Fan
Claire Gardent
Chloé Braud
Antoine Bordes
RALM
289
79
0
27 Apr 2020
Development of a High Fidelity Simulator for Generalised Photometric
  Based Space Object Classification using Machine Learning
Development of a High Fidelity Simulator for Generalised Photometric Based Space Object Classification using Machine Learning
James Allworth
Lloyd Windrim
Jeffrey B Wardman
D. Kucharski
J. Bennett
M. Bryson
55
6
0
26 Apr 2020
Cheaper Pre-training Lunch: An Efficient Paradigm for Object Detection
Cheaper Pre-training Lunch: An Efficient Paradigm for Object DetectionEuropean Conference on Computer Vision (ECCV), 2020
Dongzhan Zhou
Xinchi Zhou
Hongwen Zhang
Shuai Yi
Wanli Ouyang
VLM
221
17
0
25 Apr 2020
VehicleNet: Learning Robust Visual Representation for Vehicle
  Re-identification
VehicleNet: Learning Robust Visual Representation for Vehicle Re-identificationIEEE transactions on multimedia (TMM), 2020
Zhedong Zheng
Tao Ruan
Yunchao Wei
Yi Yang
Tao Mei
233
169
0
14 Apr 2020
Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs?
Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs?
Hirokatsu Kataoka
Tenga Wakamiya
Kensho Hara
Y. Satoh
3DPC
205
104
0
10 Apr 2020
State-Relabeling Adversarial Active Learning
State-Relabeling Adversarial Active LearningComputer Vision and Pattern Recognition (CVPR), 2020
Beichen Zhang
Liang Li
Shijie Yang
Shuhui Wang
Zhengjun Zha
Qingming Huang
140
140
0
10 Apr 2020
M2m: Imbalanced Classification via Major-to-minor Translation
M2m: Imbalanced Classification via Major-to-minor TranslationComputer Vision and Pattern Recognition (CVPR), 2020
Jaehyung Kim
Jongheon Jeong
Jinwoo Shin
313
258
0
01 Apr 2020
How Useful is Self-Supervised Pretraining for Visual Tasks?
How Useful is Self-Supervised Pretraining for Visual Tasks?Computer Vision and Pattern Recognition (CVPR), 2020
Alejandro Newell
Gaowen Liu
SSL
196
145
0
31 Mar 2020
Omni-sourced Webly-supervised Learning for Video Recognition
Omni-sourced Webly-supervised Learning for Video RecognitionEuropean Conference on Computer Vision (ECCV), 2020
Haodong Duan
Yue Zhao
Yuanjun Xiong
Wentao Liu
Dahua Lin
VLM
193
101
0
29 Mar 2020
Weakly Supervised Dataset Collection for Robust Person Detection
Weakly Supervised Dataset Collection for Robust Person Detection
Munetaka Minoguchi
Ken Okayama
Y. Satoh
Hirokatsu Kataoka
87
4
0
27 Mar 2020
Dynamic Region-Aware Convolution
Dynamic Region-Aware ConvolutionComputer Vision and Pattern Recognition (CVPR), 2020
Jin Chen
Xijun Wang
Zichao Guo
Xinming Zhang
Jian Sun
290
133
0
27 Mar 2020
A Survey of Deep Learning for Scientific Discovery
A Survey of Deep Learning for Scientific Discovery
M. Raghu
Erica Schmidt
OODAI4CE
347
141
0
26 Mar 2020
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition
  from a Domain Adaptation Perspective
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation PerspectiveComputer Vision and Pattern Recognition (CVPR), 2020
Muhammad Abdullah Jamal
Matthew A. Brown
Ming-Hsuan Yang
Liqiang Wang
Boqing Gong
240
288
0
24 Mar 2020
Robust and On-the-fly Dataset Denoising for Image Classification
Robust and On-the-fly Dataset Denoising for Image ClassificationEuropean Conference on Computer Vision (ECCV), 2020
Jiaming Song
Lunjia Hu
Michael Auli
Yann N. Dauphin
Tengyu Ma
NoLaOOD
178
13
0
24 Mar 2020
Synergic Adversarial Label Learning for Grading Retinal Diseases via
  Knowledge Distillation and Multi-task Learning
Synergic Adversarial Label Learning for Grading Retinal Diseases via Knowledge Distillation and Multi-task Learning
Lie Ju
Xin Wang
Xin Zhao
Huimin Lu
Dwarikanath Mahapatra
Paul Bonnington
Z. Ge
154
1
0
24 Mar 2020
Meta Pseudo Labels
Meta Pseudo LabelsComputer Vision and Pattern Recognition (CVPR), 2020
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
1.0K
732
0
23 Mar 2020
Weakly Supervised Context Encoder using DICOM metadata in Ultrasound
  Imaging
Weakly Supervised Context Encoder using DICOM metadata in Ultrasound Imaging
Szu-Yeu Hu
Shuhang Wang
W. Weng
Jingchao Wang
Xiaohong Wang
A. Ozturk
Qian Li
Viksit Kumar
A. Samir
106
0
0
20 Mar 2020
Generalizable Pedestrian Detection: The Elephant In The Room
Generalizable Pedestrian Detection: The Elephant In The Room
Irtiza Hasan
Tianran Ouyang
Jinpeng Li
S. Akram
Ling Shao
356
27
0
19 Mar 2020
Distant Supervision and Noisy Label Learning for Low Resource Named
  Entity Recognition: A Study on Hausa and Yorùbá
Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá
David Ifeoluwa Adelani
Michael A. Hedderich
D. Zhu
Esther van den Berg
Dietrich Klakow
180
12
0
18 Mar 2020
Fixing the train-test resolution discrepancy: FixEfficientNet
Fixing the train-test resolution discrepancy: FixEfficientNet
Hugo Touvron
Andrea Vedaldi
Matthijs Douze
Edouard Grave
AAML
446
112
0
18 Mar 2020
Watching the World Go By: Representation Learning from Unlabeled Videos
Watching the World Go By: Representation Learning from Unlabeled Videos
Daniel Gordon
Kiana Ehsani
Dieter Fox
Ali Farhadi
SSLAI4TS
171
92
0
18 Mar 2020
Equalization Loss for Long-Tailed Object Recognition
Equalization Loss for Long-Tailed Object RecognitionComputer Vision and Pattern Recognition (CVPR), 2020
Jingru Tan
Changbao Wang
Buyu Li
Quanquan Li
Wanli Ouyang
Changqing Yin
Junjie Yan
559
516
0
11 Mar 2020
Collaborative Learning of Semi-Supervised Clustering and Classification
  for Labeling Uncurated Data
Collaborative Learning of Semi-Supervised Clustering and Classification for Labeling Uncurated DataInternational Conference on Information Photonics (ICIP), 2020
Sara Mousavi
Dylan Lee
Tatianna Griffin
D. Steadman
A. Mockus
VLM
169
5
0
09 Mar 2020
Minimal spiking neuron for solving multi-label classification tasks
Minimal spiking neuron for solving multi-label classification tasksNeural Computation (Neural Comput.), 2020
Jakub Fil
Dominique F. Chu
LRM
293
10
0
05 Mar 2020
On the Learning Property of Logistic and Softmax Losses for Deep Neural
  Networks
On the Learning Property of Logistic and Softmax Losses for Deep Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2020
Xiangrui Li
X. Li
Deng Pan
D. Zhu
107
25
0
04 Mar 2020
Deep Multi-Modal Sets
Deep Multi-Modal Sets
A. Reiter
Menglin Jia
Pu Yang
Ser-Nam Lim
BDL
221
4
0
03 Mar 2020
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods
Fast and Three-rious: Speeding Up Weak Supervision with Triplet MethodsInternational Conference on Machine Learning (ICML), 2020
Daniel Y. Fu
Mayee F. Chen
Frederic Sala
Sarah Hooper
Kayvon Fatahalian
Christopher Ré
OffRL
324
125
0
27 Feb 2020
Weakly supervised discriminative feature learning with state information
  for person identification
Weakly supervised discriminative feature learning with state information for person identificationComputer Vision and Pattern Recognition (CVPR), 2020
Hong-Xing Yu
Wei-Shi Zheng
110
18
0
27 Feb 2020
Dynamic Graph Correlation Learning for Disease Diagnosis with Incomplete Labels
Daizong Liu
Shuangjie Xu
Pan Zhou
Kun He
Wei Wei
Zichuan Xu
139
2
0
26 Feb 2020
Deep Representation Learning on Long-tailed Data: A Learnable Embedding
  Augmentation Perspective
Deep Representation Learning on Long-tailed Data: A Learnable Embedding Augmentation PerspectiveComputer Vision and Pattern Recognition (CVPR), 2020
Jialun Liu
Yifan Sun
Chuchu Han
Zhaopeng Dou
Wenhui Li
337
227
0
25 Feb 2020
I Am Going MAD: Maximum Discrepancy Competition for Comparing
  Classifiers Adaptively
I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers AdaptivelyInternational Conference on Learning Representations (ICLR), 2020
Haotao Wang
Tianlong Chen
Zinan Lin
Kede Ma
VLM
200
20
0
25 Feb 2020
A survey on Semi-, Self- and Unsupervised Learning for Image
  Classification
A survey on Semi-, Self- and Unsupervised Learning for Image ClassificationIEEE Access (IEEE Access), 2020
Lars Schmarje
M. Santarossa
Simon-Martin Schroder
Reinhard Koch
SSLVLM
455
181
0
20 Feb 2020
Strength from Weakness: Fast Learning Using Weak Supervision
Strength from Weakness: Fast Learning Using Weak SupervisionInternational Conference on Machine Learning (ICML), 2020
Joshua Robinson
Stefanie Jegelka
S. Sra
215
35
0
19 Feb 2020
Rethinking the Hyperparameters for Fine-tuning
Rethinking the Hyperparameters for Fine-tuningInternational Conference on Learning Representations (ICLR), 2020
Hao Li
Pratik Chaudhari
Hao Yang
Michael Lam
Avinash Ravichandran
Rahul Bhotika
Stefano Soatto
VLM
176
138
0
19 Feb 2020
Few-Shot Few-Shot Learning and the role of Spatial Attention
Few-Shot Few-Shot Learning and the role of Spatial AttentionInternational Conference on Pattern Recognition (ICPR), 2020
Yann Lifchitz
Yannis Avrithis
Sylvaine Picard
SSL
149
7
0
18 Feb 2020
MapLUR: Exploring a new Paradigm for Estimating Air Pollution using Deep
  Learning on Map Images
MapLUR: Exploring a new Paradigm for Estimating Air Pollution using Deep Learning on Map Images
M. Steininger
Konstantin Kobs
Albin Zehe
Florian Lautenschlager
Martin Becker
Andreas Hotho
111
13
0
18 Feb 2020
DivideMix: Learning with Noisy Labels as Semi-supervised Learning
DivideMix: Learning with Noisy Labels as Semi-supervised LearningInternational Conference on Learning Representations (ICLR), 2020
Junnan Li
R. Socher
Guosheng Lin
NoLa
419
1,223
0
18 Feb 2020
Large Batch Training Does Not Need Warmup
Large Batch Training Does Not Need Warmup
Zhouyuan Huo
Bin Gu
Heng-Chiao Huang
AI4CEODL
144
5
0
04 Feb 2020
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