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Rethinking ImageNet Pre-training

Rethinking ImageNet Pre-training

21 November 2018
Kaiming He
Ross B. Girshick
Piotr Dollár
    VLMSSeg
ArXiv (abs)PDFHTML

Papers citing "Rethinking ImageNet Pre-training"

50 / 507 papers shown
Title
What makes instance discrimination good for transfer learning?
What makes instance discrimination good for transfer learning?
Nanxuan Zhao
Zhirong Wu
Rynson W. H. Lau
Stephen Lin
SSL
81
171
0
11 Jun 2020
FibeR-CNN: Expanding Mask R-CNN to Improve Image-Based Fiber Analysis
FibeR-CNN: Expanding Mask R-CNN to Improve Image-Based Fiber Analysis
M. Frei
F. Kruis
18
21
0
08 Jun 2020
End-to-End Object Detection with Transformers
End-to-End Object Detection with Transformers
Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
ViT3DVPINN
509
13,230
0
26 May 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
80
60
0
18 May 2020
Prototypical Contrastive Learning of Unsupervised Representations
Prototypical Contrastive Learning of Unsupervised Representations
Junnan Li
Pan Zhou
Caiming Xiong
Guosheng Lin
SSLDRL
153
982
0
11 May 2020
Investigating Transferability in Pretrained Language Models
Investigating Transferability in Pretrained Language Models
Alex Tamkin
Trisha Singh
D. Giovanardi
Noah D. Goodman
MILM
88
48
0
30 Apr 2020
OR-UNet: an Optimized Robust Residual U-Net for Instrument Segmentation
  in Endoscopic Images
OR-UNet: an Optimized Robust Residual U-Net for Instrument Segmentation in Endoscopic Images
Hyunjin Park
Klaus H. Maier-Hein
66
22
0
27 Apr 2020
Cheaper Pre-training Lunch: An Efficient Paradigm for Object Detection
Cheaper Pre-training Lunch: An Efficient Paradigm for Object Detection
Dongzhan Zhou
Xinchi Zhou
Hongwen Zhang
Shuai Yi
Wanli Ouyang
VLM
94
16
0
25 Apr 2020
Supervised Contrastive Learning
Supervised Contrastive Learning
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
SSL
219
4,610
0
23 Apr 2020
Deep Learning for Screening COVID-19 using Chest X-Ray Images
Deep Learning for Screening COVID-19 using Chest X-Ray Images
S. Basu
Sushmita Mitra
N. Saha
64
180
0
22 Apr 2020
LSM: Learning Subspace Minimization for Low-level Vision
LSM: Learning Subspace Minimization for Low-level Vision
Chengzhou Tang
Lu Yuan
P. Tan
83
14
0
20 Apr 2020
How to Teach DNNs to Pay Attention to the Visual Modality in Speech
  Recognition
How to Teach DNNs to Pay Attention to the Visual Modality in Speech Recognition
George Sterpu
Christian Saam
N. Harte
74
29
0
17 Apr 2020
Training few-shot classification via the perspective of minibatch and
  pretraining
Training few-shot classification via the perspective of minibatch and pretraining
Meiyu Huang
Xueshuang Xiang
Yao Xu
VLM
13
2
0
10 Apr 2020
Joint Embedding of Words and Category Labels for Hierarchical Multi-label Text Classification
Jingpeng Zhao
Yinglong Ma
31
1
0
06 Apr 2020
Volumetric Attention for 3D Medical Image Segmentation and Detection
Volumetric Attention for 3D Medical Image Segmentation and Detection
Xudong Wang
Shizhong Han
Yunqiang Chen
Dashan Gao
Nuno Vasconcelos
3DPC
82
82
0
04 Apr 2020
How Useful is Self-Supervised Pretraining for Visual Tasks?
How Useful is Self-Supervised Pretraining for Visual Tasks?
Alejandro Newell
Jia Deng
SSL
73
139
0
31 Mar 2020
A comprehensive study on the prediction reliability of graph neural
  networks for virtual screening
A comprehensive study on the prediction reliability of graph neural networks for virtual screening
Soojung Yang
K. Lee
Seongok Ryu
61
7
0
17 Mar 2020
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability
Mingli Song
Yixin Chen
Jingwen Ye
Xinchao Wang
Chengchao Shen
Feng Mao
Xiuming Zhang
72
29
0
17 Mar 2020
Conditional Convolutions for Instance Segmentation
Conditional Convolutions for Instance Segmentation
Zhi Tian
Chunhua Shen
Hao Chen
ISeg
280
619
0
12 Mar 2020
Correlated Initialization for Correlated Data
Correlated Initialization for Correlated Data
Johannes Schneider
65
5
0
09 Mar 2020
Automatic Signboard Detection and Localization in Densely Populated
  Developing Cities
Automatic Signboard Detection and Localization in Densely Populated Developing Cities
Md. Sadrul Islam Toaha
Sakib Bin Asad
C. R. Rahman
S. M. Haque
Mahfuz Ara Proma
Md. Ahsan Habib Shuvo
Tashin Ahmed
Md. Amimul Basher
16
3
0
04 Mar 2020
Rethinking the Hyperparameters for Fine-tuning
Rethinking the Hyperparameters for Fine-tuning
Hao Li
Pratik Chaudhari
Hao Yang
Michael Lam
Avinash Ravichandran
Rahul Bhotika
Stefano Soatto
VLM
93
130
0
19 Feb 2020
EHSOD: CAM-Guided End-to-end Hybrid-Supervised Object Detection with
  Cascade Refinement
EHSOD: CAM-Guided End-to-end Hybrid-Supervised Object Detection with Cascade Refinement
Linpu Fang
Hang Xu
Zhili Liu
Sarah Parisot
Zhenguo Li
51
20
0
18 Feb 2020
CRL: Class Representative Learning for Image Classification
CRL: Class Representative Learning for Image Classification
Mayanka Chandrashekar
Yugyung Lee
VLM
105
1
0
16 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
434
18,988
0
13 Feb 2020
Renofeation: A Simple Transfer Learning Method for Improved Adversarial
  Robustness
Renofeation: A Simple Transfer Learning Method for Improved Adversarial Robustness
Ting-Wu Chin
Cha Zhang
Diana Marculescu
AAML
26
1
0
07 Feb 2020
Solving Raven's Progressive Matrices with Neural Networks
Solving Raven's Progressive Matrices with Neural Networks
Tao Zhuo
Mohan S. Kankanhalli
105
26
0
05 Feb 2020
Augmenting GAIL with BC for sample efficient imitation learning
Augmenting GAIL with BC for sample efficient imitation learning
Rohit Jena
Changliu Liu
Katia Sycara
90
5
0
21 Jan 2020
Towards Stabilizing Batch Statistics in Backward Propagation of Batch
  Normalization
Towards Stabilizing Batch Statistics in Backward Propagation of Batch Normalization
Junjie Yan
Ruosi Wan
Xinming Zhang
Wei Zhang
Yichen Wei
Jian Sun
73
38
0
19 Jan 2020
Sideways: Depth-Parallel Training of Video Models
Sideways: Depth-Parallel Training of Video Models
Mateusz Malinowski
G. Swirszcz
João Carreira
Viorica Patraucean
MDE
94
15
0
17 Jan 2020
Graph-Bert: Only Attention is Needed for Learning Graph Representations
Graph-Bert: Only Attention is Needed for Learning Graph Representations
Jiawei Zhang
Haopeng Zhang
Congying Xia
Li Sun
109
306
0
15 Jan 2020
Neural Data Server: A Large-Scale Search Engine for Transfer Learning
  Data
Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data
Xi Yan
David Acuna
Sanja Fidler
167
43
0
09 Jan 2020
Fast Neural Network Adaptation via Parameter Remapping and Architecture
  Search
Fast Neural Network Adaptation via Parameter Remapping and Architecture Search
Jiemin Fang
Yuzhu Sun
Kangjian Peng
Qian Zhang
Yuan Li
Wenyu Liu
Xinggang Wang
SSeg
55
34
0
08 Jan 2020
Deep neural network models for computational histopathology: A survey
Deep neural network models for computational histopathology: A survey
C. Srinidhi
Ozan Ciga
Anne L. Martel
AI4CE
164
584
0
28 Dec 2019
Big Transfer (BiT): General Visual Representation Learning
Big Transfer (BiT): General Visual Representation Learning
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
J. Puigcerver
Jessica Yung
Sylvain Gelly
N. Houlsby
MQ
310
1,211
0
24 Dec 2019
PointRend: Image Segmentation as Rendering
PointRend: Image Segmentation as Rendering
Alexander Kirillov
Yuxin Wu
Kaiming He
Ross B. Girshick
ISeg
183
904
0
17 Dec 2019
Targeted transfer learning to improve performance in small medical
  physics datasets
Targeted transfer learning to improve performance in small medical physics datasets
M. Romero
Y. Interian
T. Solberg
Gilmer Valdes
OOD
68
48
0
14 Dec 2019
SpineNet: Learning Scale-Permuted Backbone for Recognition and
  Localization
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization
Xianzhi Du
Nayeon Lee
Pengchong Jin
Golnaz Ghiasi
Mingxing Tan
Huayu Chen
Quoc V. Le
Xiaodan Song
78
174
0
10 Dec 2019
Side-Aware Boundary Localization for More Precise Object Detection
Side-Aware Boundary Localization for More Precise Object Detection
Jiaqi Wang
Wenwei Zhang
Yuhang Cao
Kai-xiang Chen
Jiangmiao Pang
Tao Gong
Jianping Shi
Chen Change Loy
Dahua Lin
ObjD
96
138
0
09 Dec 2019
Learnt dynamics generalizes across tasks, datasets, and populations
Learnt dynamics generalizes across tasks, datasets, and populations
Usman Mahmood
M. M. Rahman
A. Fedorov
Z. Fu
Vince D. Calhoun
Sergey Plis
36
4
0
04 Dec 2019
Siam R-CNN: Visual Tracking by Re-Detection
Siam R-CNN: Visual Tracking by Re-Detection
P. Voigtlaender
Jonathon Luiten
Philip Torr
Bastian Leibe
110
516
0
28 Nov 2019
Domain-Aware Dynamic Networks
Domain-Aware Dynamic Networks
Tianyuan Zhang
Bichen Wu
Xin Wang
Joseph E. Gonzalez
Kurt Keutzer
79
6
0
26 Nov 2019
Reinventing 2D Convolutions for 3D Images
Reinventing 2D Convolutions for 3D Images
Jiancheng Yang
Xiaoyang Huang
Yi He
Jingwei Xu
Canqian Yang
Guozheng Xu
Bingbing Ni
109
11
0
24 Nov 2019
SM-NAS: Structural-to-Modular Neural Architecture Search for Object
  Detection
SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection
Lewei Yao
Hang Xu
Wei Zhang
Xiaodan Liang
Zhenguo Li
72
80
0
22 Nov 2019
Filter Response Normalization Layer: Eliminating Batch Dependence in the
  Training of Deep Neural Networks
Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks
Saurabh Singh
Shankar Krishnan
UQCV
108
126
0
21 Nov 2019
EfficientDet: Scalable and Efficient Object Detection
EfficientDet: Scalable and Efficient Object Detection
Mingxing Tan
Ruoming Pang
Quoc V. Le
232
5,125
0
20 Nov 2019
CenterMask : Real-Time Anchor-Free Instance Segmentation
CenterMask : Real-Time Anchor-Free Instance Segmentation
Youngwan Lee
Jongyoul Park
3DPCISeg
109
552
0
15 Nov 2019
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
275
12,174
0
13 Nov 2019
PRNet: Self-Supervised Learning for Partial-to-Partial Registration
PRNet: Self-Supervised Learning for Partial-to-Partial Registration
Yue Wang
Justin Solomon
SSL3DPC
142
390
0
27 Oct 2019
Learning an Efficient Network for Large-Scale Hierarchical Object
  Detection with Data Imbalance: 3rd Place Solution to Open Images Challenge
  2019
Learning an Efficient Network for Large-Scale Hierarchical Object Detection with Data Imbalance: 3rd Place Solution to Open Images Challenge 2019
Xingyuan Bu
Junran Peng
Changbao Wang
Cunjun Yu
Guoliang Cao
ObjD
26
2
0
26 Oct 2019
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