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Rethinking ImageNet Pre-training

Rethinking ImageNet Pre-training

IEEE International Conference on Computer Vision (ICCV), 2018
21 November 2018
Kaiming He
Ross B. Girshick
Piotr Dollár
    VLMSSeg
ArXiv (abs)PDFHTML

Papers citing "Rethinking ImageNet Pre-training"

50 / 512 papers shown
Title
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
4,635
0
17 Jun 2020
To Pretrain or Not to Pretrain: Examining the Benefits of Pretraining on
  Resource Rich Tasks
To Pretrain or Not to Pretrain: Examining the Benefits of Pretraining on Resource Rich Tasks
Sinong Wang
Madian Khabsa
Hao Ma
100
28
0
15 Jun 2020
Spherical Motion Dynamics: Learning Dynamics of Neural Network with
  Normalization, Weight Decay, and SGD
Spherical Motion Dynamics: Learning Dynamics of Neural Network with Normalization, Weight Decay, and SGD
Ruosi Wan
Zhanxing Zhu
Xiangyu Zhang
Jian Sun
170
11
0
15 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
277
704
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
432
465
0
11 Jun 2020
What makes instance discrimination good for transfer learning?
What makes instance discrimination good for transfer learning?International Conference on Learning Representations (ICLR), 2020
Nanxuan Zhao
Zhirong Wu
Rynson W. H. Lau
Stephen Lin
SSL
179
179
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
86
22
0
08 Jun 2020
End-to-End Object Detection with Transformers
End-to-End Object Detection with TransformersEuropean Conference on Computer Vision (ECCV), 2020
Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
ViT3DVPINN
2.3K
16,212
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
178
66
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
643
1,094
0
11 May 2020
Investigating Transferability in Pretrained Language Models
Investigating Transferability in Pretrained Language ModelsFindings (Findings), 2020
Alex Tamkin
Trisha Singh
D. Giovanardi
Noah D. Goodman
MILM
132
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
102
25
0
27 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
209
17
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
858
5,468
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
229
186
0
22 Apr 2020
LSM: Learning Subspace Minimization for Low-level Vision
LSM: Learning Subspace Minimization for Low-level VisionComputer Vision and Pattern Recognition (CVPR), 2020
Chengzhou Tang
Lu Yuan
P. Tan
132
15
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 RecognitionIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2020
George Sterpu
Christian Saam
N. Harte
174
32
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 pretrainingCAAI International Conference on Artificial Intelligence (ICCAI), 2020
Meiyu Huang
Xueshuang Xiang
Yao Xu
VLM
77
2
0
10 Apr 2020
Joint Embedding of Words and Category Labels for Hierarchical Multi-label Text Classification
Jingpeng Zhao
Yinglong Ma
141
1
0
06 Apr 2020
Volumetric Attention for 3D Medical Image Segmentation and Detection
Volumetric Attention for 3D Medical Image Segmentation and DetectionInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
Xudong Wang
Shizhong Han
Yunqiang Chen
Dashan Gao
Nuno Vasconcelos
3DPC
209
91
0
04 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
184
145
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
105
7
0
17 Mar 2020
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability
DEPARA: Deep Attribution Graph for Deep Knowledge TransferabilityComputer Vision and Pattern Recognition (CVPR), 2020
Mingli Song
Yixin Chen
Jingwen Ye
Xinchao Wang
Chengchao Shen
Feng Mao
Xiuming Zhang
159
30
0
17 Mar 2020
Conditional Convolutions for Instance Segmentation
Conditional Convolutions for Instance SegmentationEuropean Conference on Computer Vision (ECCV), 2020
Zhi Tian
Chunhua Shen
Hao Chen
ISeg
601
687
0
12 Mar 2020
Correlated Initialization for Correlated Data
Correlated Initialization for Correlated DataNeural Processing Letters (NPL), 2020
Johannes Schneider
164
6
0
09 Mar 2020
Automatic Signboard Detection and Localization in Densely Populated
  Developing Cities
Automatic Signboard Detection and Localization in Densely Populated Developing CitiesSignal processing. Image communication (SPIC), 2020
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
190
4
0
04 Mar 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
168
137
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 RefinementAAAI Conference on Artificial Intelligence (AAAI), 2020
Linpu Fang
Hang Xu
Zhili Liu
Sarah Parisot
Zhenguo Li
107
20
0
18 Feb 2020
CRL: Class Representative Learning for Image Classification
CRL: Class Representative Learning for Image Classification
Mayanka Chandrashekar
Yugyung Lee
VLM
154
1
0
16 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual RepresentationsInternational Conference on Machine Learning (ICML), 2020
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
1.2K
22,123
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
117
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
158
27
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
232
5
0
21 Jan 2020
Towards Stabilizing Batch Statistics in Backward Propagation of Batch
  Normalization
Towards Stabilizing Batch Statistics in Backward Propagation of Batch NormalizationInternational Conference on Learning Representations (ICLR), 2020
Junjie Yan
Ruosi Wan
Xinming Zhang
Wei Zhang
Yichen Wei
Jian Sun
169
42
0
19 Jan 2020
Sideways: Depth-Parallel Training of Video Models
Sideways: Depth-Parallel Training of Video ModelsComputer Vision and Pattern Recognition (CVPR), 2020
Mateusz Malinowski
G. Swirszcz
João Carreira
Viorica Patraucean
MDE
325
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
281
351
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 DataComputer Vision and Pattern Recognition (CVPR), 2020
Xi Yan
David Acuna
Sanja Fidler
238
44
0
09 Jan 2020
Fast Neural Network Adaptation via Parameter Remapping and Architecture
  Search
Fast Neural Network Adaptation via Parameter Remapping and Architecture SearchInternational Conference on Learning Representations (ICLR), 2020
Jiemin Fang
Yuzhu Sun
Kangjian Peng
Qian Zhang
Yuan Li
Wenyu Liu
Xinggang Wang
SSeg
282
36
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
380
644
0
28 Dec 2019
Big Transfer (BiT): General Visual Representation Learning
Big Transfer (BiT): General Visual Representation LearningEuropean Conference on Computer Vision (ECCV), 2019
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
J. Puigcerver
Jessica Yung
Sylvain Gelly
N. Houlsby
MQ
625
1,299
0
24 Dec 2019
PointRend: Image Segmentation as Rendering
PointRend: Image Segmentation as RenderingComputer Vision and Pattern Recognition (CVPR), 2019
Alexander Kirillov
Yuxin Wu
Kaiming He
Ross B. Girshick
ISeg
451
1,015
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 datasetsMedical Physics (Lancaster) (MPL), 2019
M. Romero
Y. Interian
T. Solberg
Gilmer Valdes
OOD
129
55
0
14 Dec 2019
SpineNet: Learning Scale-Permuted Backbone for Recognition and
  Localization
SpineNet: Learning Scale-Permuted Backbone for Recognition and LocalizationComputer Vision and Pattern Recognition (CVPR), 2019
Xianzhi Du
Nayeon Lee
Pengchong Jin
Golnaz Ghiasi
Mingxing Tan
Huayu Chen
Quoc V. Le
Xiaodan Song
226
182
0
10 Dec 2019
Side-Aware Boundary Localization for More Precise Object Detection
Side-Aware Boundary Localization for More Precise Object DetectionEuropean Conference on Computer Vision (ECCV), 2019
Yuan Liu
Wenwei Zhang
Yuhang Cao
Kai-xiang Chen
Jiangmiao Pang
Tao Gong
Jianping Shi
Chen Change Loy
Dahua Lin
ObjD
246
151
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
125
4
0
04 Dec 2019
Siam R-CNN: Visual Tracking by Re-Detection
Siam R-CNN: Visual Tracking by Re-DetectionComputer Vision and Pattern Recognition (CVPR), 2019
P. Voigtlaender
Jonathon Luiten
Juil Sock
Bastian Leibe
273
614
0
28 Nov 2019
Domain-Aware Dynamic Networks
Domain-Aware Dynamic Networks
Tianyuan Zhang
Bichen Wu
Xin Wang
Joseph E. Gonzalez
Kurt Keutzer
145
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
318
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 DetectionAAAI Conference on Artificial Intelligence (AAAI), 2019
Lewei Yao
Hang Xu
Wei Zhang
Xiaodan Liang
Zhenguo Li
215
81
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 NetworksComputer Vision and Pattern Recognition (CVPR), 2019
Saurabh Singh
Shankar Krishnan
UQCV
202
131
0
21 Nov 2019
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