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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
Slender Object Detection: Diagnoses and Improvements
Slender Object Detection: Diagnoses and Improvements
Zhaoyi Wan
Yimin Chen
Sutao Deng
Kunpeng Chen
Cong Yao
Jiebo Luo
ObjD
103
9
0
17 Nov 2020
Online Monitoring of Object Detection Performance During Deployment
Online Monitoring of Object Detection Performance During Deployment
Q. Rahman
Niko Sünderhauf
Feras Dayoub
65
8
0
16 Nov 2020
Bi-tuning of Pre-trained Representations
Bi-tuning of Pre-trained Representations
Jincheng Zhong
Ximei Wang
Zhi Kou
Jianmin Wang
Mingsheng Long
57
21
0
12 Nov 2020
Interpretable and synergistic deep learning for visual explanation and
  statistical estimations of segmentation of disease features from medical
  images
Interpretable and synergistic deep learning for visual explanation and statistical estimations of segmentation of disease features from medical images
Sambuddha Ghosal
Pratik Shah
95
7
0
11 Nov 2020
Improving Robotic Grasping on Monocular Images Via Multi-Task Learning
  and Positional Loss
Improving Robotic Grasping on Monocular Images Via Multi-Task Learning and Positional Loss
William Prew
T. Breckon
M. Bordewich
Ulrik R Beierholm
45
7
0
05 Nov 2020
Meta-learning Transferable Representations with a Single Target Domain
Meta-learning Transferable Representations with a Single Target Domain
Hong Liu
Jeff Z. HaoChen
Colin Wei
Tengyu Ma
AAML
91
5
0
03 Nov 2020
SelfPose: 3D Egocentric Pose Estimation from a Headset Mounted Camera
SelfPose: 3D Egocentric Pose Estimation from a Headset Mounted Camera
Denis Tomè
Thiemo Alldieck
Patrick Peluse
Gerard Pons-Moll
Lourdes Agapito
H. Badino
Fernando de la Torre
EgoV
103
76
0
02 Nov 2020
Leveraging Adaptive Color Augmentation in Convolutional Neural Networks
  for Deep Skin Lesion Segmentation
Leveraging Adaptive Color Augmentation in Convolutional Neural Networks for Deep Skin Lesion Segmentation
A. Saha
Prem Prasad
Abdullah Thabit
MedIm
40
21
0
31 Oct 2020
Pre-training Graph Transformer with Multimodal Side Information for
  Recommendation
Pre-training Graph Transformer with Multimodal Side Information for Recommendation
Yong Liu
Susen Yang
Chenyi Lei
Guoxin Wang
Haihong Tang
Juyong Zhang
Aixin Sun
Chunyan Miao
29
4
0
23 Oct 2020
Deep Analysis of CNN-based Spatio-temporal Representations for Action
  Recognition
Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition
Chun-Fu Chen
Yikang Shen
K. Ramakrishnan
Rogerio Feris
J. M. Cohn
A. Oliva
Quanfu Fan
114
99
0
22 Oct 2020
Learning Curves for Analysis of Deep Networks
Learning Curves for Analysis of Deep Networks
Derek Hoiem
Tanmay Gupta
Zhizhong Li
Michal Shlapentokh-Rothman
82
26
0
21 Oct 2020
SeqTrans: Automatic Vulnerability Fix via Sequence to Sequence Learning
SeqTrans: Automatic Vulnerability Fix via Sequence to Sequence Learning
Jianlei Chi
YunHuan Qu
Ting Liu
Q. Zheng
Heng Yin
91
57
0
21 Oct 2020
AutoBSS: An Efficient Algorithm for Block Stacking Style Search
AutoBSS: An Efficient Algorithm for Block Stacking Style Search
Yikang Zhang
Jian Zhang
Zhaobai Zhong
71
4
0
20 Oct 2020
Which Model to Transfer? Finding the Needle in the Growing Haystack
Which Model to Transfer? Finding the Needle in the Growing Haystack
Cédric Renggli
André Susano Pinto
Luka Rimanic
J. Puigcerver
C. Riquelme
Ce Zhang
Mario Lucic
88
28
0
13 Oct 2020
MS$^2$L: Multi-Task Self-Supervised Learning for Skeleton Based Action
  Recognition
MS2^22L: Multi-Task Self-Supervised Learning for Skeleton Based Action Recognition
Lilang Lin
Sijie Song
Wenhan Yang
Jiaying Liu
SSL
89
200
0
12 Oct 2020
Deep Anomaly Detection by Residual Adaptation
Deep Anomaly Detection by Residual Adaptation
Lucas Deecke
Lukas Ruff
Robert A. Vandermeulen
Hakan Bilen
UQCV
87
4
0
05 Oct 2020
Per-frame mAP Prediction for Continuous Performance Monitoring of Object
  Detection During Deployment
Per-frame mAP Prediction for Continuous Performance Monitoring of Object Detection During Deployment
Q. Rahman
Niko Sünderhauf
Feras Dayoub
67
4
0
18 Sep 2020
The Next Big Thing(s) in Unsupervised Machine Learning: Five Lessons
  from Infant Learning
The Next Big Thing(s) in Unsupervised Machine Learning: Five Lessons from Infant Learning
L. Zaadnoordijk
Tarek R. Besold
R. Cusack
SSLDRL
51
3
0
17 Sep 2020
EfficientSeg: An Efficient Semantic Segmentation Network
EfficientSeg: An Efficient Semantic Segmentation Network
V. B. Yesilkaynak
Y. Sahin
Gözde B. Ünal
SSeg
38
8
0
14 Sep 2020
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and
  Perspectives
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives
Alexander Mathis
Steffen Schneider
Jessy Lauer
Mackenzie W. Mathis
112
168
0
01 Sep 2020
What is being transferred in transfer learning?
What is being transferred in transfer learning?
Behnam Neyshabur
Hanie Sedghi
Chiyuan Zhang
152
530
0
26 Aug 2020
Seesaw Loss for Long-Tailed Instance Segmentation
Seesaw Loss for Long-Tailed Instance Segmentation
Jiaqi Wang
Wenwei Zhang
Yuhang Zang
Yuhang Cao
Jiangmiao Pang
Tao Gong
Kai-xiang Chen
Ziwei Liu
Chen Change Loy
Dahua Lin
118
240
0
23 Aug 2020
Matching Guided Distillation
Matching Guided Distillation
Kaiyu Yue
Jiangfan Deng
Feng Zhou
53
50
0
23 Aug 2020
LoCo: Local Contrastive Representation Learning
LoCo: Local Contrastive Representation Learning
Yuwen Xiong
Mengye Ren
R. Urtasun
SSLDRL
91
70
0
04 Aug 2020
Uncovering the structure of clinical EEG signals with self-supervised
  learning
Uncovering the structure of clinical EEG signals with self-supervised learning
Hubert J. Banville
O. Chehab
Aapo Hyvarinen
Denis A. Engemann
Alexandre Gramfort
94
199
0
31 Jul 2020
The Kolmogorov-Arnold representation theorem revisited
The Kolmogorov-Arnold representation theorem revisited
Johannes Schmidt-Hieber
94
147
0
31 Jul 2020
PointContrast: Unsupervised Pre-training for 3D Point Cloud
  Understanding
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
Saining Xie
Jiatao Gu
Demi Guo
C. Qi
Leonidas Guibas
Or Litany
3DPC
248
647
0
21 Jul 2020
Pillar-based Object Detection for Autonomous Driving
Pillar-based Object Detection for Autonomous Driving
Yue Wang
Alireza Fathi
Abhijit Kundu
David A. Ross
C. Pantofaru
Thomas Funkhouser
Justin Solomon
3DPC
128
220
0
20 Jul 2020
Adding Seemingly Uninformative Labels Helps in Low Data Regimes
Adding Seemingly Uninformative Labels Helps in Low Data Regimes
Christos Matsoukas
Albert Bou I Hernandez
Yue Liu
Karin Dembrower
G. Miranda
...
Johan Fredin Haslum
Athanasios Zouzos
Peter Lindholm
Fredrik Strand
Kevin Smith
32
13
0
20 Jul 2020
MIXÉM: Unsupervised Image Classification using a Mixture of Embeddings
MIXÉM: Unsupervised Image Classification using a Mixture of Embeddings
Ali Varamesh
Tinne Tuytelaars
VLM
54
4
0
18 Jul 2020
CATCH: Context-based Meta Reinforcement Learning for Transferrable
  Architecture Search
CATCH: Context-based Meta Reinforcement Learning for Transferrable Architecture Search
Xin Chen
Yawen Duan
Zewei Chen
Hang Xu
Zihao Chen
Xiaodan Liang
Tong Zhang
Zhenguo Li
OffRL
80
21
0
18 Jul 2020
2nd Place Solution to ECCV 2020 VIPriors Object Detection Challenge
2nd Place Solution to ECCV 2020 VIPriors Object Detection Challenge
Yinzheng Gu
Yihan Pan
Shizhe Chen
67
2
0
17 Jul 2020
MTP: Multi-Task Pruning for Efficient Semantic Segmentation Networks
MTP: Multi-Task Pruning for Efficient Semantic Segmentation Networks
Xinghao Chen
Yiman Zhang
Yunhe Wang
VLM
33
15
0
16 Jul 2020
T-Basis: a Compact Representation for Neural Networks
T-Basis: a Compact Representation for Neural Networks
Anton Obukhov
M. Rakhuba
Stamatios Georgoulis
Menelaos Kanakis
Dengxin Dai
Luc Van Gool
114
27
0
13 Jul 2020
Fast Video Object Segmentation With Temporal Aggregation Network and
  Dynamic Template Matching
Fast Video Object Segmentation With Temporal Aggregation Network and Dynamic Template Matching
Xuhua Huang
Jiarui Xu
Yu-Wing Tai
Chi-Keung Tang
VOS
134
67
0
11 Jul 2020
Sample-based Regularization: A Transfer Learning Strategy Toward Better
  Generalization
Sample-based Regularization: A Transfer Learning Strategy Toward Better Generalization
Yunho Jeon
Yongseok Choi
Jaesun Park
Subin Yi
D.-Y. Cho
Jiwon Kim
26
6
0
10 Jul 2020
AutoAssign: Differentiable Label Assignment for Dense Object Detection
AutoAssign: Differentiable Label Assignment for Dense Object Detection
Benjin Zhu
Jianfeng Wang
Zhengkai Jiang
Fuhang Zong
Songtao Liu
Zeming Li
Jian Sun
98
223
0
07 Jul 2020
LabelEnc: A New Intermediate Supervision Method for Object Detection
LabelEnc: A New Intermediate Supervision Method for Object Detection
Miao Hao
Yitao Liu
Xinming Zhang
Jian Sun
85
25
0
07 Jul 2020
Learn Faster and Forget Slower via Fast and Stable Task Adaptation
Learn Faster and Forget Slower via Fast and Stable Task Adaptation
Farshid Varno
Lucas May Petry
Lisa Di-Jorio
Stan Matwin
CLL
62
2
0
02 Jul 2020
Rethinking Channel Dimensions for Efficient Model Design
Rethinking Channel Dimensions for Efficient Model Design
Dongyoon Han
Sangdoo Yun
Byeongho Heo
Y. Yoo
3DV
85
86
0
02 Jul 2020
Unsupervised Learning of Video Representations via Dense Trajectory
  Clustering
Unsupervised Learning of Video Representations via Dense Trajectory Clustering
P. Tokmakov
M. Hebert
Cordelia Schmid
SSL
59
22
0
28 Jun 2020
Localization Uncertainty Estimation for Anchor-Free Object Detection
Localization Uncertainty Estimation for Anchor-Free Object Detection
Youngwan Lee
Joong-won Hwang
Hyungil Kim
Kimin Yun
Yongjin Kwon
Yuseok Bae
Joungyoul Park
98
32
0
28 Jun 2020
Rescaling Egocentric Vision
Rescaling Egocentric Vision
Dima Damen
Hazel Doughty
G. Farinella
Antonino Furnari
Evangelos Kazakos
...
Davide Moltisanti
Jonathan Munro
Toby Perrett
Will Price
Michael Wray
EgoV
166
469
0
23 Jun 2020
What shapes feature representations? Exploring datasets, architectures,
  and training
What shapes feature representations? Exploring datasets, architectures, and training
Katherine L. Hermann
Andrew Kyle Lampinen
OOD
104
157
0
22 Jun 2020
FNA++: Fast Network Adaptation via Parameter Remapping and Architecture
  Search
FNA++: Fast Network Adaptation via Parameter Remapping and Architecture Search
Jiemin Fang
Yuzhu Sun
Qian Zhang
Kangjian Peng
Yuan Li
Wenyu Liu
Xinggang Wang
SSeg
118
34
0
21 Jun 2020
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
352
4,110
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
60
26
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
78
11
0
15 Jun 2020
Rethinking Pre-training and Self-training
Rethinking Pre-training and Self-training
Barret Zoph
Golnaz Ghiasi
Nayeon Lee
Huayu Chen
Hanxiao Liu
E. D. Cubuk
Quoc V. Le
SSeg
112
656
0
11 Jun 2020
VirTex: Learning Visual Representations from Textual Annotations
VirTex: Learning Visual Representations from Textual Annotations
Karan Desai
Justin Johnson
SSLVLM
173
437
0
11 Jun 2020
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