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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
LocTex: Learning Data-Efficient Visual Representations from Localized
  Textual Supervision
LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision
Zhijian Liu
Simon Stent
Jie Li
John Gideon
Song Han
VLM
106
10
0
26 Aug 2021
Multi-Task Self-Training for Learning General Representations
Multi-Task Self-Training for Learning General Representations
Golnaz Ghiasi
Barret Zoph
E. D. Cubuk
Quoc V. Le
Nayeon Lee
SSL
91
102
0
25 Aug 2021
A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your
  Pre-training Effective?
A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your Pre-training Effective?
Hiroaki Mikami
Kenji Fukumizu
Shogo Murai
Shuji Suzuki
Yuta Kikuchi
Taiji Suzuki
S. Maeda
Kohei Hayashi
92
12
0
25 Aug 2021
How Transferable Are Self-supervised Features in Medical Image
  Classification Tasks?
How Transferable Are Self-supervised Features in Medical Image Classification Tasks?
T. Truong
Sadegh Mohammadi
Matthias Lenga
79
45
0
23 Aug 2021
Supervised Compression for Resource-Constrained Edge Computing Systems
Supervised Compression for Resource-Constrained Edge Computing Systems
Yoshitomo Matsubara
Ruihan Yang
Marco Levorato
Stephan Mandt
118
58
0
21 Aug 2021
Boosting Salient Object Detection with Transformer-based Asymmetric
  Bilateral U-Net
Boosting Salient Object Detection with Transformer-based Asymmetric Bilateral U-Net
Yu Qiu
Yun-Hai Liu
Le Zhang
Jing Xu
ViT
69
31
0
17 Aug 2021
Challenges for cognitive decoding using deep learning methods
Challenges for cognitive decoding using deep learning methods
A. Thomas
Christopher Ré
R. Poldrack
AI4CE
61
6
0
16 Aug 2021
DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the
  Presence of Shortcut and Generalization Opportunities
DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities
Elias Eulig
Piyapat Saranrittichai
Chaithanya Kumar Mummadi
K. Rambach
William H. Beluch
Xiahan Shi
Volker Fischer
210
11
0
12 Aug 2021
Towards to Robust and Generalized Medical Image Segmentation Framework
Yurong Chen
OOD
67
3
0
09 Aug 2021
NASOA: Towards Faster Task-oriented Online Fine-tuning with a Zoo of
  Models
NASOA: Towards Faster Task-oriented Online Fine-tuning with a Zoo of Models
Hang Xu
Ning Kang
Gengwei Zhang
Chuanlong Xie
Xiaodan Liang
Zhenguo Li
OnRL
104
7
0
07 Aug 2021
Interpretable Visual Understanding with Cognitive Attention Network
Interpretable Visual Understanding with Cognitive Attention Network
Xuejiao Tang
Wenbin Zhang
Yi Yu
Kea Turner
Hanyu Wang
Mengyu Wang
Eirini Ntoutsi
136
12
0
06 Aug 2021
Enhancing Self-supervised Video Representation Learning via Multi-level
  Feature Optimization
Enhancing Self-supervised Video Representation Learning via Multi-level Feature Optimization
Rui Qian
Yuxi Li
Huabin Liu
John See
Shuangrui Ding
Xian Liu
Dian Li
Weiyao Lin
82
42
0
04 Aug 2021
Lung Sound Classification Using Co-tuning and Stochastic Normalization
Lung Sound Classification Using Co-tuning and Stochastic Normalization
T. Nguyen
Franz Pernkopf
51
94
0
04 Aug 2021
On The State of Data In Computer Vision: Human Annotations Remain
  Indispensable for Developing Deep Learning Models
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
50
13
0
31 Jul 2021
Open-World Entity Segmentation
Open-World Entity Segmentation
Lu Qi
Jason Kuen
Yi Wang
Jiuxiang Gu
Hengshuang Zhao
Zhe Lin
Philip Torr
Jiaya Jia
OCLSSegVLM
152
82
0
29 Jul 2021
Addressing materials' microstructure diversity using transfer learning
Addressing materials' microstructure diversity using transfer learning
Aurèle Goetz
Ali Riza Durmaz
Martin Müller
Akhil Thomas
D. Britz
P. Kerfriden
C. Eberl
OOD
62
21
0
29 Jul 2021
Improve Unsupervised Pretraining for Few-label Transfer
Improve Unsupervised Pretraining for Few-label Transfer
Suichan Li
Dongdong Chen
Yinpeng Chen
Lu Yuan
Lei Zhang
Qi Chu
B. Liu
Nenghai Yu
SSL
67
20
0
26 Jul 2021
Exploring Set Similarity for Dense Self-supervised Representation
  Learning
Exploring Set Similarity for Dense Self-supervised Representation Learning
Zhaoqing Wang
Qiang Li
Guoxin Zhang
Pengfei Wan
Wen Zheng
N. Wang
Biwei Huang
Tongliang Liu
SSL
86
44
0
19 Jul 2021
Non-binary deep transfer learning for image classification
Non-binary deep transfer learning for image classification
J. Plested
Xuyang Shen
Tom Gedeon
MQ
74
5
0
19 Jul 2021
Privacy Vulnerability of Split Computing to Data-Free Model Inversion
  Attacks
Privacy Vulnerability of Split Computing to Data-Free Model Inversion Attacks
Xin Dong
Hongxu Yin
J. Álvarez
Jan Kautz
Pavlo Molchanov
H. T. Kung
MIACV
83
8
0
13 Jul 2021
Hierarchical Self-Supervised Learning for Medical Image Segmentation
  Based on Multi-Domain Data Aggregation
Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation
Hao Zheng
Jun Han
Hongxiao Wang
Lin Yang
Zhuo Zhao
Chaoli Wang
Benlin Liu
81
23
0
10 Jul 2021
CSL-YOLO: A New Lightweight Object Detection System for Edge Computing
CSL-YOLO: A New Lightweight Object Detection System for Edge Computing
Yumeng Zhang
Chun-Chieh Lee
J. Hsieh
Kuo-Chin Fan
ObjD
34
21
0
10 Jul 2021
A Dual-Purpose Deep Learning Model for Auscultated Lung and Tracheal
  Sound Analysis Based on Mixed Set Training
A Dual-Purpose Deep Learning Model for Auscultated Lung and Tracheal Sound Analysis Based on Mixed Set Training
Fu-Shun Hsu
Shang-Ran Huang
Chang-Fu Su
Chien-Wen Huang
Yuan-Ren Cheng
...
Nian-Jhen Lin
Wan-Ling Tsai
Ching-Shiang Lu
Chuan Chen
F. Lai
57
5
0
09 Jul 2021
Challenges for machine learning in clinical translation of big data
  imaging studies
Challenges for machine learning in clinical translation of big data imaging studies
Nicola K. Dinsdale
Emma Bluemke
V. Sundaresan
M. Jenkinson
Stephen Smith
Ana I. L. Namburete
AI4CE
122
44
0
07 Jul 2021
Unsupervised Knowledge-Transfer for Learned Image Reconstruction
Unsupervised Knowledge-Transfer for Learned Image Reconstruction
Riccardo Barbano
Ž. Kereta
A. Hauptmann
Simon Arridge
Bangti Jin
71
11
0
06 Jul 2021
Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory
Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory
Xuejiao Tang
Xin Huang
Wenbin Zhang
T. Child
Qiong Hu
Zhen Liu
Ji Zhang
LRM
81
19
0
04 Jul 2021
Zoo-Tuning: Adaptive Transfer from a Zoo of Models
Zoo-Tuning: Adaptive Transfer from a Zoo of Models
Yang Shu
Zhi Kou
Zhangjie Cao
Jianmin Wang
Mingsheng Long
74
44
0
29 Jun 2021
K-Net: Towards Unified Image Segmentation
K-Net: Towards Unified Image Segmentation
Wenwei Zhang
Jiangmiao Pang
Kai-xiang Chen
Chen Change Loy
ISeg
127
372
0
28 Jun 2021
GAIA: A Transfer Learning System of Object Detection that Fits Your
  Needs
GAIA: A Transfer Learning System of Object Detection that Fits Your Needs
Xingyuan Bu
Junran Peng
Junjie Yan
Tieniu Tan
Zhaoxiang Zhang
ObjDVLM
144
53
0
21 Jun 2021
Does Optimal Source Task Performance Imply Optimal Pre-training for a
  Target Task?
Does Optimal Source Task Performance Imply Optimal Pre-training for a Target Task?
Steven Gutstein
Brent Lance
Sanjay Shakkottai
29
1
0
21 Jun 2021
ImageNet Pre-training also Transfers Non-Robustness
ImageNet Pre-training also Transfers Non-Robustness
Jiaming Zhang
Jitao Sang
Qiaomin Yi
Yunfan Yang
Huiwen Dong
Jian Yu
63
3
0
21 Jun 2021
Multirate Training of Neural Networks
Multirate Training of Neural Networks
Tiffany J. Vlaar
Benedict Leimkuhler
55
4
0
20 Jun 2021
Joining datasets via data augmentation in the label space for neural
  networks
Joining datasets via data augmentation in the label space for neural networks
Jake Zhao
Mingfeng Ou
Linji Xue
Yunkai Cui
Sai Wu
Gang Chen
36
2
0
17 Jun 2021
Pre-Trained Models: Past, Present and Future
Pre-Trained Models: Past, Present and Future
Xu Han
Zhengyan Zhang
Ning Ding
Yuxian Gu
Xiao Liu
...
Jie Tang
Ji-Rong Wen
Jinhui Yuan
Wayne Xin Zhao
Jun Zhu
AIFinMQAI4MH
177
863
0
14 Jun 2021
Knowledge distillation: A good teacher is patient and consistent
Knowledge distillation: A good teacher is patient and consistent
Lucas Beyer
Xiaohua Zhai
Amelie Royer
L. Markeeva
Rohan Anil
Alexander Kolesnikov
VLM
109
302
0
09 Jun 2021
DETReg: Unsupervised Pretraining with Region Priors for Object Detection
DETReg: Unsupervised Pretraining with Region Priors for Object Detection
Amir Bar
Xin Wang
Vadim Kantorov
Colorado Reed
Roei Herzig
Gal Chechik
Anna Rohrbach
Trevor Darrell
Amir Globerson
ViT
79
118
0
08 Jun 2021
Incorporating NODE with Pre-trained Neural Differential Operator for
  Learning Dynamics
Incorporating NODE with Pre-trained Neural Differential Operator for Learning Dynamics
Shiqi Gong
Qi Meng
Yue Wang
Lijun Wu
Wei Chen
Zhi-Ming Ma
Tie-Yan Liu
57
4
0
08 Jun 2021
Rethinking Training from Scratch for Object Detection
Rethinking Training from Scratch for Object Detection
Yang Li
Hong Zhang
Yu Zhang
VLMOnRLObjD
62
5
0
06 Jun 2021
You Only Look at One Sequence: Rethinking Transformer in Vision through
  Object Detection
You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection
Yuxin Fang
Bencheng Liao
Xinggang Wang
Jiemin Fang
Jiyang Qi
Rui Wu
Jianwei Niu
Wenyu Liu
ViT
80
326
0
01 Jun 2021
A study on the plasticity of neural networks
A study on the plasticity of neural networks
Tudor Berariu
Wojciech M. Czarnecki
Soham De
J. Bornschein
Samuel L. Smith
Razvan Pascanu
Claudia Clopath
CLLAI4CE
79
32
0
31 May 2021
Recent advances and clinical applications of deep learning in medical
  image analysis
Recent advances and clinical applications of deep learning in medical image analysis
Xuxin Chen
Ximing Wang
Kecheng Zhang
K. Fung
T. Thai
K. Moore
Robert S. Mannel
Hong Liu
B. Zheng
Y. Qiu
OOD
138
615
0
27 May 2021
Quantifying Topology In Pancreatic Tubular Networks From Live Imaging 3D
  Microscopy
Quantifying Topology In Pancreatic Tubular Networks From Live Imaging 3D Microscopy
K. Arnavaz
Oswin Krause
Kilian Zepf
Jelena M. Krivokapic
Silja Heilmann
J. A. Bærentzen
P. Nyeng
Aasa Feragen
37
2
0
20 May 2021
Rethinking "Batch" in BatchNorm
Rethinking "Batch" in BatchNorm
Yuxin Wu
Justin Johnson
BDL
123
66
0
17 May 2021
Instances as Queries
Instances as Queries
Yuxin Fang
Shusheng Yang
Xinggang Wang
Yu Li
Chen Fang
Ying Shan
Bin Feng
Wenyu Liu
ISeg
94
261
0
05 May 2021
IB-DRR: Incremental Learning with Information-Back Discrete
  Representation Replay
IB-DRR: Incremental Learning with Information-Back Discrete Representation Replay
Jian Jiang
Edoardo Cetin
Oya Celiktutan
51
9
0
21 Apr 2021
A Competitive Method to VIPriors Object Detection Challenge
A Competitive Method to VIPriors Object Detection Challenge
Fei Shen
Xin He
Mengwan Wei
Yihui Xie
50
9
0
19 Apr 2021
A Two-branch Neural Network for Non-homogeneous Dehazing via Ensemble
  Learning
A Two-branch Neural Network for Non-homogeneous Dehazing via Ensemble Learning
Yankun Yu
Huan Liu
Min-Jun Fu
Jun Chen
Xiyao Wang
Keyan Wang
78
67
0
18 Apr 2021
Neural Transfer Learning for Repairing Security Vulnerabilities in C
  Code
Neural Transfer Learning for Repairing Security Vulnerabilities in C Code
Zimin Chen
Steve Kommrusch
Monperrus Martin
102
128
0
16 Apr 2021
Learning from 2D: Contrastive Pixel-to-Point Knowledge Transfer for 3D
  Pretraining
Learning from 2D: Contrastive Pixel-to-Point Knowledge Transfer for 3D Pretraining
Yueh-Cheng Liu
Yu-Kai Huang
HungYueh Chiang
Hung-Ting Su
Zhe-Yu Liu
Chin-Tang Chen
Ching-Yu Tseng
Winston H. Hsu
3DPC
48
35
0
10 Apr 2021
Towards Fine-grained Visual Representations by Combining Contrastive
  Learning with Image Reconstruction and Attention-weighted Pooling
Towards Fine-grained Visual Representations by Combining Contrastive Learning with Image Reconstruction and Attention-weighted Pooling
Jonas Dippel
Steffen Vogler
Johannes Höhne
95
21
0
09 Apr 2021
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