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1805.00932
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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
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Papers citing
"Exploring the Limits of Weakly Supervised Pretraining"
50 / 847 papers shown
Not All Relations are Equal: Mining Informative Labels for Scene Graph Generation
Computer Vision and Pattern Recognition (CVPR), 2021
A. Goel
Basura Fernando
Frank Keller
Hakan Bilen
276
36
0
26 Nov 2021
Transferability Metrics for Selecting Source Model Ensembles
A. Agostinelli
J. Uijlings
Thomas Mensink
V. Ferrari
270
29
0
25 Nov 2021
One to Transfer All: A Universal Transfer Framework for Vision Foundation Model with Few Data
Yujie Wang
Junqin Huang
Mengya Gao
Yichao Wu
Zhen-fei Yin
Ding Liang
Junjie Yan
174
0
0
24 Nov 2021
RedCaps: web-curated image-text data created by the people, for the people
Karan Desai
Gaurav Kaul
Zubin Aysola
Justin Johnson
283
191
0
22 Nov 2021
Combined Scaling for Zero-shot Transfer Learning
Hieu H. Pham
Zihang Dai
Golnaz Ghiasi
Kenji Kawaguchi
Hanxiao Liu
...
Yi-Ting Chen
Minh-Thang Luong
Yonghui Wu
Mingxing Tan
Quoc V. Le
VLM
390
229
0
19 Nov 2021
INTERN: A New Learning Paradigm Towards General Vision
Jing Shao
Siyu Chen
Yangguang Li
Kun Wang
Zhen-fei Yin
...
F. Yu
Junjie Yan
Dahua Lin
Xiaogang Wang
Yu Qiao
237
39
0
16 Nov 2021
LiT: Zero-Shot Transfer with Locked-image text Tuning
Computer Vision and Pattern Recognition (CVPR), 2021
Xiaohua Zhai
Tianlin Li
Basil Mustafa
Andreas Steiner
Daniel Keysers
Alexander Kolesnikov
Lucas Beyer
VLM
640
669
0
15 Nov 2021
Scalable Diverse Model Selection for Accessible Transfer Learning
Neural Information Processing Systems (NeurIPS), 2021
Daniel Bolya
Rohit Mittapalli
Judy Hoffman
OODD
203
53
0
12 Nov 2021
Masked Autoencoders Are Scalable Vision Learners
Computer Vision and Pattern Recognition (CVPR), 2021
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
2.5K
10,096
0
11 Nov 2021
Hybrid BYOL-ViT: Efficient approach to deal with small datasets
Safwen Naimi
Rien van Leeuwen
W. Souidène
S. B. Saoud
SSL
ViT
123
2
0
08 Nov 2021
How Important is Importance Sampling for Deep Budgeted Training?
Eric Arazo
Diego Ortego
Paul Albert
Noel E. O'Connor
Kevin McGuinness
197
8
0
27 Oct 2021
CvT-ASSD: Convolutional vision-Transformer Based Attentive Single Shot MultiBox Detector
IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2021
Weiqiang Jin
Hang Yu
Xiangfeng Luo
ViT
111
16
0
24 Oct 2021
Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs
Journal of machine learning research (JMLR), 2021
Kaichao You
Yong Liu
Ziyang Zhang
Jianmin Wang
Sai Li
Mingsheng Long
412
38
0
20 Oct 2021
Improving Tail-Class Representation with Centroid Contrastive Learning
A. M. H. Tiong
Junnan Li
Guosheng Lin
Boyang Albert Li
Caiming Xiong
Guosheng Lin
VLM
221
15
0
19 Oct 2021
MEMO: Test Time Robustness via Adaptation and Augmentation
Marvin Zhang
Sergey Levine
Chelsea Finn
OOD
TTA
504
446
0
18 Oct 2021
Self-Supervised Representation Learning: Introduction, Advances and Challenges
Linus Ericsson
Henry Gouk
Chen Change Loy
Timothy M. Hospedales
SSL
OOD
AI4TS
248
350
0
18 Oct 2021
Prediction of Lung CT Scores of Systemic Sclerosis by Cascaded Regression Neural Networks
Jingnan Jia
Marius Staring
Irene Hernández-Girón
L. Kroft
A. Schouffoer
B. Stoel
62
2
0
15 Oct 2021
Newer is not always better: Rethinking transferability metrics, their peculiarities, stability and performance
Shibal Ibrahim
Natalia Ponomareva
Rahul Mazumder
AAML
388
21
0
13 Oct 2021
NoisyActions2M: A Multimedia Dataset for Video Understanding from Noisy Labels
Mohit Sharma
Rajkumar Patra
Harshali Desai
Shruti Vyas
Yogesh S Rawat
R. Shah
VGen
NoLa
233
5
0
13 Oct 2021
Deep Long-Tailed Learning: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Yifan Zhang
Bingyi Kang
Bryan Hooi
Shuicheng Yan
Jiashi Feng
VLM
371
757
0
09 Oct 2021
RankingMatch: Delving into Semi-Supervised Learning with Consistency Regularization and Ranking Loss
Trung Q. Tran
Mingu Kang
Daeyoung Kim
73
3
0
09 Oct 2021
Using Contrastive Learning and Pseudolabels to learn representations for Retail Product Image Classification
Muktabh Mayank Srivastava
NoLa
SSL
155
1
0
07 Oct 2021
Improving Fractal Pre-training
Connor Anderson
Ryan Farrell
273
31
0
06 Oct 2021
Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs
Philipp Benz
Soomin Ham
Chaoning Zhang
Adil Karjauv
In So Kweon
AAML
ViT
259
89
0
06 Oct 2021
ActiveMatch: End-to-end Semi-supervised Active Representation Learning
Xinkai Yuan
Zilinghan Li
Gaoang Wang
CLL
208
11
0
06 Oct 2021
Influence-Balanced Loss for Imbalanced Visual Classification
Seulki Park
Jongin Lim
Younghan Jeon
J. Choi
CVBM
252
169
0
06 Oct 2021
Exploring the Limits of Large Scale Pre-training
Samira Abnar
Mostafa Dehghani
Behnam Neyshabur
Hanie Sedghi
AI4CE
215
133
0
05 Oct 2021
Robust Temporal Ensembling for Learning with Noisy Labels
Abel Brown
Benedikt Schifferer
R. DiPietro
NoLa
OOD
91
0
0
29 Sep 2021
An embarrassingly simple comparison of machine learning algorithms for indoor scene classification
Bhanuka Gamage
96
3
0
25 Sep 2021
Balanced-MixUp for Highly Imbalanced Medical Image Classification
Adrian Galdran
G. Carneiro
M. A. G. Ballester
152
116
0
20 Sep 2021
A Study of the Generalizability of Self-Supervised Representations
Atharva Tendle
Mohammad Rashedul Hasan
278
33
0
19 Sep 2021
Screen Parsing: Towards Reverse Engineering of UI Models from Screenshots
Jason Wu
Xiaoyi Zhang
Jeffrey Nichols
Jeffrey P. Bigham
3DV
337
84
0
17 Sep 2021
Compute and Energy Consumption Trends in Deep Learning Inference
Radosvet Desislavov
Fernando Martínez-Plumed
José Hernández-Orallo
185
167
0
12 Sep 2021
Uncovering Main Causalities for Long-tailed Information Extraction
Guoshun Nan
Jiaqi Zeng
Rui Qiao
Zhijiang Guo
Wei Lu
CML
197
50
0
11 Sep 2021
Self Supervision to Distillation for Long-Tailed Visual Recognition
IEEE International Conference on Computer Vision (ICCV), 2021
Tianhao Li
Limin Wang
Gangshan Wu
217
117
0
09 Sep 2021
Rethinking Crowdsourcing Annotation: Partial Annotation with Salient Labels for Multi-Label Image Classification
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021
Jianzhe Lin
Tianze Yu
Z. J. Wang
154
16
0
06 Sep 2021
On-target Adaptation
Yi Xu
Shaoteng Liu
Sayna Ebrahimi
Evan Shelhamer
Trevor Darrell
TTA
231
20
0
02 Sep 2021
Multi-Task Self-Training for Learning General Representations
IEEE International Conference on Computer Vision (ICCV), 2021
Golnaz Ghiasi
Barret Zoph
E. D. Cubuk
Quoc V. Le
Nayeon Lee
SSL
215
113
0
25 Aug 2021
Learning From Long-Tailed Data With Noisy Labels
Shyamgopal Karthik
Jérôme Revaud
Boris Chidlovskii
SSL
NoLa
224
30
0
25 Aug 2021
StyleAugment: Learning Texture De-biased Representations by Style Augmentation without Pre-defined Textures
Sanghyuk Chun
Song Park
154
7
0
24 Aug 2021
SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling
Haowen Lin
Jian Lou
Li Xiong
Cyrus Shahabi
FedML
225
74
0
21 Aug 2021
DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection
Limeng Qiao
Yuxuan Zhao
Zhiyuan Li
Xi Qiu
Jianan Wu
Fangqiu Yi
ObjD
230
269
0
20 Aug 2021
Causal Attention for Unbiased Visual Recognition
Tan Wang
Chan Zhou
Qianru Sun
Hanwang Zhang
OOD
CML
225
146
0
19 Aug 2021
Self-Supervised Visual Representations Learning by Contrastive Mask Prediction
Yucheng Zhao
Guangting Wang
Chong Luo
Wenjun Zeng
Zhengjun Zha
ISeg
SSL
231
53
0
18 Aug 2021
SCIDA: Self-Correction Integrated Domain Adaptation from Single- to Multi-label Aerial Images
Tianze Yu
Ieee Jianzhe Lin Student Member
Ieee Lichao Mou Student Member
Yuansheng Hua
Senior Member Ieee Xiaoxiang Zhu
F. I. Z. Jane Wang
137
8
0
15 Aug 2021
Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representations
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Josh Beal
Hao Wu
Dong Huk Park
Andrew Zhai
Dmitry Kislyuk
ViT
199
31
0
12 Aug 2021
Co-learning: Learning from Noisy Labels with Self-supervision
ACM Multimedia (ACM MM), 2021
Cheng Tan
Jun Xia
Lirong Wu
Stan Z. Li
NoLa
412
148
0
05 Aug 2021
Free Lunch for Co-Saliency Detection: Context Adjustment
Lingdong Kong
Prakhar Ganesh
Tan Wang
Junhao Liu
Le Zhang
Yao-Liang Chen
289
0
0
04 Aug 2021
Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters
Bowen Dong
Zitong Huang
Yuelin Guo
Qilong Wang
Zhenxing Niu
W. Zuo
178
60
0
03 Aug 2021
On The State of Data In Computer Vision: Human Annotations Remain Indispensable for Developing Deep Learning Models
Z. Emam
Andrew Kondrich
Sasha Harrison
Felix Lau
Yushi Wang
Aerin Kim
E. Branson
VLM
146
17
0
31 Jul 2021
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