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Rethinking ImageNet Pre-training

Rethinking ImageNet Pre-training

21 November 2018
Kaiming He
Ross B. Girshick
Piotr Dollár
    VLM
    SSeg
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Papers citing "Rethinking ImageNet Pre-training"

50 / 166 papers shown
Title
Attention Mechanism based Cognition-level Scene Understanding
Attention Mechanism based Cognition-level Scene Understanding
Xuejiao Tang
Tai Le Quy
LRM
23
0
0
17 Apr 2022
TOV: The Original Vision Model for Optical Remote Sensing Image
  Understanding via Self-supervised Learning
TOV: The Original Vision Model for Optical Remote Sensing Image Understanding via Self-supervised Learning
Chao Tao
Ji Qi
Guo Zhang
Qing Zhu
Weipeng Lu
Haifeng Li
29
40
0
10 Apr 2022
3D Perception based Imitation Learning under Limited Demonstration for
  Laparoscope Control in Robotic Surgery
3D Perception based Imitation Learning under Limited Demonstration for Laparoscope Control in Robotic Surgery
Bin Li
Ruofeng Wei
Jiaqi Xu
Bo Lu
C. Yee
Chi-Fai Ng
Pheng-Ann Heng
Qi Dou
Yunhui Liu
14
12
0
07 Apr 2022
Exploring Cross-Domain Pretrained Model for Hyperspectral Image
  Classification
Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification
Hyungtae Lee
Sungmin Eum
H. Kwon
19
22
0
07 Apr 2022
Improving Vision Transformers by Revisiting High-frequency Components
Improving Vision Transformers by Revisiting High-frequency Components
Jiawang Bai
Liuliang Yuan
Shutao Xia
Shuicheng Yan
Zhifeng Li
W. Liu
ViT
8
90
0
03 Apr 2022
AudioTagging Done Right: 2nd comparison of deep learning methods for
  environmental sound classification
AudioTagging Done Right: 2nd comparison of deep learning methods for environmental sound classification
Juncheng Billy Li
Shuhui Qu
Po-Yao (Bernie) Huang
Florian Metze
VLM
22
9
0
25 Mar 2022
X-Learner: Learning Cross Sources and Tasks for Universal Visual
  Representation
X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation
Yinan He
Gengshi Huang
Siyu Chen
Jianing Teng
Wang Kun
Zhen-fei Yin
Lu Sheng
Ziwei Liu
Yu Qiao
Jing Shao
VLM
SSL
ViT
32
7
0
16 Mar 2022
MVP: Multimodality-guided Visual Pre-training
MVP: Multimodality-guided Visual Pre-training
Longhui Wei
Lingxi Xie
Wen-gang Zhou
Houqiang Li
Qi Tian
28
105
0
10 Mar 2022
Discriminability-Transferability Trade-Off: An Information-Theoretic
  Perspective
Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective
Quan Cui
Bingchen Zhao
Zhao-Min Chen
Borui Zhao
Renjie Song
Jiajun Liang
Boyan Zhou
Osamu Yoshie
19
18
0
08 Mar 2022
What Makes Transfer Learning Work For Medical Images: Feature Reuse &
  Other Factors
What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors
Christos Matsoukas
Johan Fredin Haslum
Moein Sorkhei
Magnus P Soderberg
Kevin Smith
VLM
OOD
MedIm
22
85
0
02 Mar 2022
How Low Can We Go? Pixel Annotation for Semantic Segmentation
How Low Can We Go? Pixel Annotation for Semantic Segmentation
Daniel Kigli
Ariel Shamir
S. Avidan
VLM
16
1
0
25 Jan 2022
Transferability in Deep Learning: A Survey
Transferability in Deep Learning: A Survey
Junguang Jiang
Yang Shu
Jianmin Wang
Mingsheng Long
OOD
25
101
0
15 Jan 2022
Ghost-dil-NetVLAD: A Lightweight Neural Network for Visual Place
  Recognition
Ghost-dil-NetVLAD: A Lightweight Neural Network for Visual Place Recognition
Qingyuan Gong
Yu Liu
Liqiang Zhang
Renhe Liu
ObjD
VLM
22
3
0
22 Dec 2021
An Adaptive Graph Pre-training Framework for Localized Collaborative
  Filtering
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering
Yiqi Wang
Chaozhuo Li
Zheng Liu
Mingzheng Li
Jiliang Tang
Xing Xie
Lei Chen
Philip S. Yu
22
23
0
14 Dec 2021
Self-Supervised Modality-Aware Multiple Granularity Pre-Training for
  RGB-Infrared Person Re-Identification
Self-Supervised Modality-Aware Multiple Granularity Pre-Training for RGB-Infrared Person Re-Identification
Lin Wan
Qianyan Jing
Zongyuan Sun
Chuan Zhang
Zhihang Li
Yehansen Chen
SSL
12
5
0
12 Dec 2021
Revisiting the Transferability of Supervised Pretraining: an MLP
  Perspective
Revisiting the Transferability of Supervised Pretraining: an MLP Perspective
Yizhou Wang
Shixiang Tang
Feng Zhu
Lei Bai
Rui Zhao
Donglian Qi
Wanli Ouyang
21
51
0
01 Dec 2021
CLIP Meets Video Captioning: Concept-Aware Representation Learning Does
  Matter
CLIP Meets Video Captioning: Concept-Aware Representation Learning Does Matter
Bang-ju Yang
Tong Zhang
Yuexian Zou
CLIP
25
20
0
30 Nov 2021
MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for
  Efficient Object Detection
MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection
Zhenhong Sun
Ming Lin
Xiuyu Sun
Zhiyu Tan
Hao Li
Rong Jin
15
32
0
26 Nov 2021
An Educated Warm Start For Deep Image Prior-Based Micro CT
  Reconstruction
An Educated Warm Start For Deep Image Prior-Based Micro CT Reconstruction
Riccardo Barbano
Johannes Leuschner
Maximilian Schmidt
Alexander Denker
A. Hauptmann
Peter Maass
Bangti Jin
29
19
0
23 Nov 2021
Benchmarking Detection Transfer Learning with Vision Transformers
Benchmarking Detection Transfer Learning with Vision Transformers
Yanghao Li
Saining Xie
Xinlei Chen
Piotr Dollar
Kaiming He
Ross B. Girshick
14
164
0
22 Nov 2021
Improved Regularization and Robustness for Fine-tuning in Neural
  Networks
Improved Regularization and Robustness for Fine-tuning in Neural Networks
Dongyue Li
Hongyang R. Zhang
NoLa
47
54
0
08 Nov 2021
Recognizing Vector Graphics without Rasterization
Recognizing Vector Graphics without Rasterization
Xinyang Jiang
Lu Liu
Caihua Shan
Yifei Shen
Xuanyi Dong
Dongsheng Li
GNN
6
17
0
05 Nov 2021
A Closer Look at Few-Shot Video Classification: A New Baseline and
  Benchmark
A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark
Zhenxi Zhu
Limin Wang
Sheng Guo
Gangshan Wu
31
32
0
24 Oct 2021
StyleAlign: Analysis and Applications of Aligned StyleGAN Models
StyleAlign: Analysis and Applications of Aligned StyleGAN Models
Zongze Wu
Yotam Nitzan
Eli Shechtman
Dani Lischinski
16
56
0
21 Oct 2021
Training Deep Neural Networks with Joint Quantization and Pruning of
  Weights and Activations
Training Deep Neural Networks with Joint Quantization and Pruning of Weights and Activations
Xinyu Zhang
Ian Colbert
Ken Kreutz-Delgado
Srinjoy Das
MQ
24
11
0
15 Oct 2021
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot
  Learning
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning
Yang Shu
Zhangjie Cao
Jing Gao
Jianmin Wang
Philip S. Yu
Mingsheng Long
30
10
0
14 Oct 2021
Rethinking Person Re-Identification via Semantic-Based Pretraining
Rethinking Person Re-Identification via Semantic-Based Pretraining
Suncheng Xiang
Jingsheng Gao
Zi-Yu Zhang
Mengyuan Guan
Binghai Yan
Ting Liu
Dahong Qian
Yuzhuo Fu
VLM
25
11
0
11 Oct 2021
Improving Fractal Pre-training
Improving Fractal Pre-training
Connor Anderson
Ryan Farrell
80
27
0
06 Oct 2021
On the Surrogate Gap between Contrastive and Supervised Losses
On the Surrogate Gap between Contrastive and Supervised Losses
Han Bao
Yoshihiro Nagano
Kento Nozawa
SSL
UQCV
37
19
0
06 Oct 2021
Shape-Biased Domain Generalization via Shock Graph Embeddings
Shape-Biased Domain Generalization via Shock Graph Embeddings
M. Narayanan
Vickram Rajendran
Benjamin Kimia
4
14
0
13 Sep 2021
Learning 3D Mineral Prospectivity from 3D Geological Models Using
  Convolutional Neural Networks: Application to a Structure-controlled
  Hydrothermal Gold Deposit
Learning 3D Mineral Prospectivity from 3D Geological Models Using Convolutional Neural Networks: Application to a Structure-controlled Hydrothermal Gold Deposit
Hao Deng
Yang Zheng
Jin Chen
Shuyang Yu
K. Xiao
Xiancheng Mao
10
44
0
02 Sep 2021
Benchmarking the Robustness of Instance Segmentation Models
Benchmarking the Robustness of Instance Segmentation Models
Said Fahri Altindis
Yusuf Dalva
Hamza Pehlivan
Aysegül Dündar
VLM
OOD
29
12
0
02 Sep 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
Tsung-Yi Lin
SSL
13
100
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
38
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
32
45
0
23 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
30
42
0
04 Aug 2021
Open-World Entity Segmentation
Open-World Entity Segmentation
Lu Qi
Jason Kuen
Yi Wang
Jiuxiang Gu
Hengshuang Zhao
Zhe-nan Lin
Philip H. S. Torr
Jiaya Jia
OCL
SSeg
VLM
27
80
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
14
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
8
20
0
26 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
29
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
32
41
0
07 Jul 2021
K-Net: Towards Unified Image Segmentation
K-Net: Towards Unified Image Segmentation
Wenwei Zhang
Jiangmiao Pang
Kai-xiang Chen
Chen Change Loy
ISeg
17
356
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
T. Tan
Zhaoxiang Zhang
ObjD
VLM
20
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
17
1
0
21 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
AIFin
MQ
AI4MH
35
813
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
15
287
0
09 Jun 2021
Rethinking Training from Scratch for Object Detection
Rethinking Training from Scratch for Object Detection
Yang Li
Hong Zhang
Yu Zhang
VLM
OnRL
ObjD
17
5
0
06 Jun 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
18
569
0
27 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
33
255
0
05 May 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
24
8
0
19 Apr 2021
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