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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
Adversarial Learning of General Transformations for Data Augmentation
Adversarial Learning of General Transformations for Data Augmentation
Saypraseuth Mounsaveng
David Vazquez
Ismail Ben Ayed
M. Pedersoli
106
11
0
21 Sep 2019
Chinese Street View Text: Large-scale Chinese Text Reading with
  Partially Supervised Learning
Chinese Street View Text: Large-scale Chinese Text Reading with Partially Supervised LearningIEEE International Conference on Computer Vision (ICCV), 2019
Yipeng Sun
Jiaming Liu
Wei Liu
Junyu Han
Errui Ding
Jingtuo Liu
266
58
0
17 Sep 2019
Scaling Object Detection by Transferring Classification Weights
Scaling Object Detection by Transferring Classification WeightsIEEE International Conference on Computer Vision (ICCV), 2019
Jason Kuen
Federico Perazzi
Zhe Lin
Jianming Zhang
Yap-Peng Tan
ViT
174
18
0
15 Sep 2019
Brain-Like Object Recognition with High-Performing Shallow Recurrent
  ANNs
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNsNeural Information Processing Systems (NeurIPS), 2019
J. Kubilius
Martin Schrimpf
Kohitij Kar
Ha Hong
N. Majaj
...
Kailyn Schmidt
Aran Nayebi
Daniel M. Bear
Daniel L. K. Yamins
J. DiCarlo
306
300
0
13 Sep 2019
Understanding the Effects of Pre-Training for Object Detectors via
  Eigenspectrum
Understanding the Effects of Pre-Training for Object Detectors via Eigenspectrum
Yosuke Shinya
E. Simo-Serra
Taiji Suzuki
146
13
0
09 Sep 2019
Pretrained AI Models: Performativity, Mobility, and Change
Pretrained AI Models: Performativity, Mobility, and Change
Lav Varshney
N. Keskar
R. Socher
93
22
0
07 Sep 2019
Semantic-Aware Scene Recognition
Semantic-Aware Scene RecognitionPattern Recognition (Pattern Recognit.), 2019
Alejandro López-Cifuentes
Marcos Escudero-Viñolo
Jesús Bescós
Álvaro García-Martín
199
126
0
05 Sep 2019
Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic
  Labels Improve Image Captioning and Visual Question Answering
Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Soravit Changpinyo
Bo Pang
Piyush Sharma
Radu Soricut
ObjD
240
20
0
04 Sep 2019
High Accuracy and High Fidelity Extraction of Neural Networks
High Accuracy and High Fidelity Extraction of Neural NetworksUSENIX Security Symposium (USENIX Security), 2019
Matthew Jagielski
Nicholas Carlini
David Berthelot
Alexey Kurakin
Nicolas Papernot
MLAUMIACV
338
427
0
03 Sep 2019
Imbalance Problems in Object Detection: A Review
Imbalance Problems in Object Detection: A ReviewIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Kemal Oksuz
Baris Can Cam
Sinan Kalkan
Emre Akbas
ObjD
384
531
0
31 Aug 2019
GeoStyle: Discovering Fashion Trends and Events
GeoStyle: Discovering Fashion Trends and EventsIEEE International Conference on Computer Vision (ICCV), 2019
Utkarsh Mall
Kevin Blackburn-Matzen
B. Hariharan
Noah Snavely
Kavita Bala
201
69
0
29 Aug 2019
Learning to Transfer Learn: Reinforcement Learning-Based Selection for
  Adaptive Transfer Learning
Learning to Transfer Learn: Reinforcement Learning-Based Selection for Adaptive Transfer Learning
Linchao Zhu
Sercan O. Arik
Yezhou Yang
Tomas Pfister
201
5
0
29 Aug 2019
Transferability and Hardness of Supervised Classification Tasks
Transferability and Hardness of Supervised Classification TasksIEEE International Conference on Computer Vision (ICCV), 2019
Anh Tran
Cuong V Nguyen
Tal Hassner
373
191
0
21 Aug 2019
Needles in Haystacks: On Classifying Tiny Objects in Large Images
Needles in Haystacks: On Classifying Tiny Objects in Large Images
Nick Pawlowski
Suvrat Bhooshan
Nicolas Ballas
F. Ciompi
Ben Glocker
M. Drozdzal
218
23
0
16 Aug 2019
Benchmarking the Robustness of Semantic Segmentation Models
Benchmarking the Robustness of Semantic Segmentation ModelsInternational Journal of Computer Vision (IJCV), 2019
Christoph Kamann
Carsten Rother
VLMUQCV
318
180
0
14 Aug 2019
LVIS: A Dataset for Large Vocabulary Instance Segmentation
LVIS: A Dataset for Large Vocabulary Instance SegmentationComputer Vision and Pattern Recognition (CVPR), 2019
Agrim Gupta
Piotr Dollár
Ross B. Girshick
ISegVLM
1.2K
1,608
0
08 Aug 2019
Use What You Have: Video Retrieval Using Representations From
  Collaborative Experts
Use What You Have: Video Retrieval Using Representations From Collaborative ExpertsBritish Machine Vision Conference (BMVC), 2019
Yang Liu
Samuel Albanie
Arsha Nagrani
Andrew Zisserman
301
424
0
31 Jul 2019
A Survey on Federated Learning Systems: Vision, Hype and Reality for
  Data Privacy and Protection
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and ProtectionIEEE Transactions on Knowledge and Data Engineering (TKDE), 2019
Yue Liu
Zeyi Wen
Zhaomin Wu
Sixu Hu
Naibo Wang
Yuan N. Li
Xu Liu
Bingsheng He
FedML
504
1,262
0
23 Jul 2019
Green AI
Green AI
Roy Schwartz
Jesse Dodge
Noah A. Smith
Oren Etzioni
822
1,410
0
22 Jul 2019
Why Build an Assistant in Minecraft?
Why Build an Assistant in Minecraft?
Arthur Szlam
Jonathan Gray
Kavya Srinet
Yacine Jernite
Armand Joulin
...
Siddharth Goyal
Demi Guo
Dan Rothermel
C. L. Zitnick
Jason Weston
LLMAG
276
31
0
22 Jul 2019
CraftAssist: A Framework for Dialogue-enabled Interactive Agents
CraftAssist: A Framework for Dialogue-enabled Interactive Agents
Jonathan Gray
Kavya Srinet
Yacine Jernite
Haonan Yu
Zhuoyuan Chen
Demi Guo
Siddharth Goyal
C. L. Zitnick
Arthur Szlam
204
41
0
19 Jul 2019
Robustness properties of Facebook's ResNeXt WSL models
Robustness properties of Facebook's ResNeXt WSL models
Emin Orhan
VLM
456
34
0
17 Jul 2019
Bringing Giant Neural Networks Down to Earth with Unlabeled Data
Bringing Giant Neural Networks Down to Earth with Unlabeled Data
Yehui Tang
Shan You
Chang Xu
Boxin Shi
Chao Xu
181
11
0
13 Jul 2019
And the Bit Goes Down: Revisiting the Quantization of Neural Networks
And the Bit Goes Down: Revisiting the Quantization of Neural NetworksInternational Conference on Learning Representations (ICLR), 2019
Pierre Stock
Armand Joulin
Rémi Gribonval
Benjamin Graham
Edouard Grave
MQ
446
157
0
12 Jul 2019
Large Memory Layers with Product Keys
Large Memory Layers with Product KeysNeural Information Processing Systems (NeurIPS), 2019
Guillaume Lample
Alexandre Sablayrolles
MarcÁurelio Ranzato
Ludovic Denoyer
Edouard Grave
MoE
220
153
0
10 Jul 2019
Thompson Sampling on Symmetric $α$-Stable Bandits
Thompson Sampling on Symmetric ααα-Stable Bandits
Abhimanyu Dubey
Alex Pentland
103
7
0
08 Jul 2019
Introduction to Camera Pose Estimation with Deep Learning
Introduction to Camera Pose Estimation with Deep Learning
Yoli Shavit
Ron Ferens
314
73
0
08 Jul 2019
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot
  Cross-dataset Transfer
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset TransferIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
René Ranftl
Katrin Lasinger
David Hafner
Konrad Schindler
V. Koltun
MDE
652
2,243
0
02 Jul 2019
Fixing the train-test resolution discrepancy
Fixing the train-test resolution discrepancyNeural Information Processing Systems (NeurIPS), 2019
Hugo Touvron
Andrea Vedaldi
Matthijs Douze
Edouard Grave
442
462
0
14 Jun 2019
CRCEN: A Generalized Cost-sensitive Neural Network Approach for
  Imbalanced Classification
CRCEN: A Generalized Cost-sensitive Neural Network Approach for Imbalanced Classification
Xiangrui Li
D. Zhu
158
0
0
10 Jun 2019
HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million
  Narrated Video Clips
HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video ClipsIEEE International Conference on Computer Vision (ICCV), 2019
Antoine Miech
Dimitri Zhukov
Jean-Baptiste Alayrac
Makarand Tapaswi
Ivan Laptev
Josef Sivic
VGen
524
1,370
0
07 Jun 2019
PseudoEdgeNet: Nuclei Segmentation only with Point Annotations
PseudoEdgeNet: Nuclei Segmentation only with Point AnnotationsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
Inwan Yoo
Donggeun Yoo
K. Paeng
144
89
0
07 Jun 2019
Multi-task Pairwise Neural Ranking for Hashtag Segmentation
Multi-task Pairwise Neural Ranking for Hashtag SegmentationAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Mounica Maddela
Wenyuan Xu
Daniel Preoţiuc-Pietro
146
13
0
03 Jun 2019
Time Series Anomaly Detection Using Convolutional Neural Networks and
  Transfer Learning
Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning
Tailai Wen
Roy Keyes
AI4TS
196
145
0
31 May 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural NetworksInternational Conference on Machine Learning (ICML), 2019
Mingxing Tan
Quoc V. Le
3DVMedIm
730
21,741
0
28 May 2019
Learning Image-Specific Attributes by Hyperbolic Neighborhood Graph
  Propagation
Learning Image-Specific Attributes by Hyperbolic Neighborhood Graph PropagationInternational Joint Conference on Artificial Intelligence (IJCAI), 2019
Xiaofeng Xu
Ivor W. Tsang
Xiaofeng Cao
Ruiheng Zhang
Chuancai Liu
138
7
0
20 May 2019
Training Object Detectors With Noisy Data
Training Object Detectors With Noisy Data
Simon Chadwick
Paul Newman
NoLa
174
43
0
17 May 2019
Deep Unified Multimodal Embeddings for Understanding both Content and
  Users in Social Media Networks
Deep Unified Multimodal Embeddings for Understanding both Content and Users in Social Media Networks
Karan Sikka
Lucas Van Bramer
Ajay Divakaran
244
2
0
17 May 2019
CutMix: Regularization Strategy to Train Strong Classifiers with
  Localizable Features
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable FeaturesIEEE International Conference on Computer Vision (ICCV), 2019
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
1.6K
5,539
0
13 May 2019
Forecasting Pedestrian Trajectory with Machine-Annotated Training Data
Forecasting Pedestrian Trajectory with Machine-Annotated Training Data
Olly Styles
Arun Ross
Victor Sanchez
163
37
0
09 May 2019
Learning Loss for Active Learning
Learning Loss for Active LearningComputer Vision and Pattern Recognition (CVPR), 2019
Donggeun Yoo
In So Kweon
UQCV
297
753
0
09 May 2019
Learning to Interpret Satellite Images in Global Scale Using Wikipedia
Learning to Interpret Satellite Images in Global Scale Using Wikipedia
Burak Uzkent
Evan Sheehan
Chenlin Meng
Zhongyi Tang
Marshall Burke
David B. Lobell
Stefano Ermon
SSL
307
32
0
07 May 2019
Unsupervised Pre-Training of Image Features on Non-Curated Data
Unsupervised Pre-Training of Image Features on Non-Curated Data
Mathilde Caron
Piotr Bojanowski
Julien Mairal
Armand Joulin
SSL
257
9
0
03 May 2019
Scaling and Benchmarking Self-Supervised Visual Representation Learning
Scaling and Benchmarking Self-Supervised Visual Representation LearningIEEE International Conference on Computer Vision (ICCV), 2019
Priya Goyal
D. Mahajan
Abhinav Gupta
Ishan Misra
SSL
356
422
0
03 May 2019
Large-scale weakly-supervised pre-training for video action recognition
Large-scale weakly-supervised pre-training for video action recognitionComputer Vision and Pattern Recognition (CVPR), 2019
Deepti Ghadiyaram
Matt Feiszli
Du Tran
Xueting Yan
Heng Wang
D. Mahajan
193
313
0
02 May 2019
Billion-scale semi-supervised learning for image classification
Billion-scale semi-supervised learning for image classification
I. Z. Yalniz
Edouard Grave
Kan Chen
Manohar Paluri
D. Mahajan
SSL
363
478
0
02 May 2019
A critical analysis of self-supervision, or what we can learn from a
  single image
A critical analysis of self-supervision, or what we can learn from a single imageInternational Conference on Learning Representations (ICLR), 2019
Yuki M. Asano
Christian Rupprecht
Andrea Vedaldi
SSL
346
151
0
30 Apr 2019
Unsupervised Discovery of Multimodal Links in Multi-image,
  Multi-sentence Documents
Unsupervised Discovery of Multimodal Links in Multi-image, Multi-sentence Documents
Jack Hessel
Lillian Lee
David M. Mimno
161
31
0
16 Apr 2019
An Analysis of Pre-Training on Object Detection
An Analysis of Pre-Training on Object Detection
Hengduo Li
Bharat Singh
Mahyar Najibi
Zuxuan Wu
L. Davis
ObjD
182
41
0
11 Apr 2019
Elucidating image-to-set prediction: An analysis of models, losses and
  datasets
Elucidating image-to-set prediction: An analysis of models, losses and datasets
Luis Villaseñor-Pineda
Amaia Salvador
M. Drozdzal
Adriana Romero
235
14
0
11 Apr 2019
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