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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
Learning specialized activation functions with the Piecewise Linear Unit
Learning specialized activation functions with the Piecewise Linear Unit
Yucong Zhou
Zezhou Zhu
Zhaobai Zhong
80
15
0
08 Apr 2021
The surprising impact of mask-head architecture on novel class
  segmentation
The surprising impact of mask-head architecture on novel class segmentation
Vighnesh Birodkar
Zhichao Lu
Siyang Li
V. Rathod
Jonathan Huang
ISeg
86
27
0
01 Apr 2021
DAP: Detection-Aware Pre-training with Weak Supervision
DAP: Detection-Aware Pre-training with Weak Supervision
Yuanyi Zhong
Jianfeng Wang
Lijuan Wang
Jian-wei Peng
Yu-Xiong Wang
Lei Zhang
65
15
0
30 Mar 2021
Self-supervised Image-text Pre-training With Mixed Data In Chest X-rays
Self-supervised Image-text Pre-training With Mixed Data In Chest X-rays
Xiaosong Wang
Ziyue Xu
Leo K. Tam
Dong Yang
Daguang Xu
ViTMedIm
68
24
0
30 Mar 2021
Low-Fidelity End-to-End Video Encoder Pre-training for Temporal Action
  Localization
Low-Fidelity End-to-End Video Encoder Pre-training for Temporal Action Localization
Mengmeng Xu
Juan-Manuel Perez-Rua
Xiatian Zhu
Guohao Li
Brais Martinez
81
28
0
28 Mar 2021
USB: Universal-Scale Object Detection Benchmark
USB: Universal-Scale Object Detection Benchmark
Yosuke Shinya
ObjD
113
13
0
25 Mar 2021
Rethinking Self-Supervised Learning: Small is Beautiful
Rethinking Self-Supervised Learning: Small is Beautiful
Yun Cao
Jianxin Wu
SSL
70
21
0
25 Mar 2021
Can Vision Transformers Learn without Natural Images?
Can Vision Transformers Learn without Natural Images?
Kodai Nakashima
Hirokatsu Kataoka
Asato Matsumoto
K. Iwata
Nakamasa Inoue
ViT
57
34
0
24 Mar 2021
Robust and Accurate Object Detection via Adversarial Learning
Robust and Accurate Object Detection via Adversarial Learning
Xiangning Chen
Cihang Xie
Mingxing Tan
Li Zhang
Cho-Jui Hsieh
Boqing Gong
AAML
72
72
0
23 Mar 2021
Efficient Visual Pretraining with Contrastive Detection
Efficient Visual Pretraining with Contrastive Detection
Olivier J. Hénaff
Skanda Koppula
Jean-Baptiste Alayrac
Aaron van den Oord
Oriol Vinyals
João Carreira
VLMSSL
78
166
0
19 Mar 2021
UniMoCo: Unsupervised, Semi-Supervised and Full-Supervised Visual
  Representation Learning
UniMoCo: Unsupervised, Semi-Supervised and Full-Supervised Visual Representation Learning
Zhigang Dai
Bolun Cai
Yugeng Lin
Junying Chen
SSL
68
6
0
19 Mar 2021
Spatially Consistent Representation Learning
Spatially Consistent Representation Learning
Byungseok Roh
Wuhyun Shin
Ildoo Kim
Sungwoong Kim
SSL
67
90
0
10 Mar 2021
Deeply Unsupervised Patch Re-Identification for Pre-training Object
  Detectors
Deeply Unsupervised Patch Re-Identification for Pre-training Object Detectors
Jian Ding
Enze Xie
Hang Xu
Chenhan Jiang
Zhenguo Li
Ping Luo
Guisong Xia
66
17
0
08 Mar 2021
Panoramic Panoptic Segmentation: Towards Complete Surrounding
  Understanding via Unsupervised Contrastive Learning
Panoramic Panoptic Segmentation: Towards Complete Surrounding Understanding via Unsupervised Contrastive Learning
A. Jaus
Kailun Yang
Rainer Stiefelhagen
98
36
0
01 Mar 2021
Self-Tuning for Data-Efficient Deep Learning
Self-Tuning for Data-Efficient Deep Learning
Ximei Wang
Jing Gao
Mingsheng Long
Jianmin Wang
BDL
91
71
0
25 Feb 2021
LogME: Practical Assessment of Pre-trained Models for Transfer Learning
LogME: Practical Assessment of Pre-trained Models for Transfer Learning
Kaichao You
Yong Liu
Jianmin Wang
Mingsheng Long
99
189
0
22 Feb 2021
MosaicOS: A Simple and Effective Use of Object-Centric Images for
  Long-Tailed Object Detection
MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection
Cheng Zhang
Tai-Yu Pan
Yandong Li
Hexiang Hu
D. Xuan
Soravit Changpinyo
Boqing Gong
Wei-Lun Chao
ObjDVLM
146
42
0
17 Feb 2021
Instance Localization for Self-supervised Detection Pretraining
Instance Localization for Self-supervised Detection Pretraining
Ceyuan Yang
Zhirong Wu
Bolei Zhou
Stephen Lin
ViTSSL
172
149
0
16 Feb 2021
DetCo: Unsupervised Contrastive Learning for Object Detection
DetCo: Unsupervised Contrastive Learning for Object Detection
Enze Xie
Jian Ding
Wenhai Wang
Xiaohang Zhan
Hang Xu
Peize Sun
Zhenguo Li
Ping Luo
101
325
0
09 Feb 2021
Common Spatial Generative Adversarial Networks based EEG Data
  Augmentation for Cross-Subject Brain-Computer Interface
Common Spatial Generative Adversarial Networks based EEG Data Augmentation for Cross-Subject Brain-Computer Interface
Yonghao Song
Lie Yang
Xueyu Jia
Longhan Xie
55
18
0
08 Feb 2021
Damage detection using in-domain and cross-domain transfer learning
Damage detection using in-domain and cross-domain transfer learning
Zaharah Bukhsh
N. Jansen
Aaqib Saeed
63
43
0
07 Feb 2021
Instance and Panoptic Segmentation Using Conditional Convolutions
Instance and Panoptic Segmentation Using Conditional Convolutions
Zhi Tian
Bowen Zhang
Hao Chen
Chunhua Shen
ISeg
134
42
0
05 Feb 2021
Scaling Laws for Transfer
Scaling Laws for Transfer
Danny Hernandez
Jared Kaplan
T. Henighan
Sam McCandlish
100
251
0
02 Feb 2021
PSLA: Improving Audio Tagging with Pretraining, Sampling, Labeling, and
  Aggregation
PSLA: Improving Audio Tagging with Pretraining, Sampling, Labeling, and Aggregation
Yuan Gong
Yu-An Chung
James R. Glass
VLM
199
147
0
02 Feb 2021
A linearized framework and a new benchmark for model selection for
  fine-tuning
A linearized framework and a new benchmark for model selection for fine-tuning
Aditya Deshpande
Alessandro Achille
Avinash Ravichandran
Hao Li
Luca Zancato
Charless C. Fowlkes
Rahul Bhotika
Stefano Soatto
Pietro Perona
ALM
182
49
0
29 Jan 2021
BENDR: using transformers and a contrastive self-supervised learning
  task to learn from massive amounts of EEG data
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data
Demetres Kostas
Stephane Aroca-Ouellette
Frank Rudzicz
SSL
120
210
0
28 Jan 2021
CheXtransfer: Performance and Parameter Efficiency of ImageNet Models
  for Chest X-Ray Interpretation
CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation
Alexander Ke
William Ellsworth
Oishi Banerjee
A. Ng
Pranav Rajpurkar
MedIm
144
105
0
18 Jan 2021
Context-aware Attentional Pooling (CAP) for Fine-grained Visual
  Classification
Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification
Ardhendu Behera
Zachary Wharton
Pradeep Ruwan Padmasiri Galbokka Hewage
Asish Bera
118
110
0
17 Jan 2021
Self-Supervised Representation Learning from Flow Equivariance
Self-Supervised Representation Learning from Flow Equivariance
Yuwen Xiong
Mengye Ren
Wenyuan Zeng
R. Urtasun
SSL
97
29
0
16 Jan 2021
Practical Evaluation of Out-of-Distribution Detection Methods for Image
  Classification
Practical Evaluation of Out-of-Distribution Detection Methods for Image Classification
Engkarat Techapanurak
Takayuki Okatani
OODD
54
9
0
07 Jan 2021
Global Context Networks
Global Context Networks
Yue Cao
Jiarui Xu
Stephen Lin
Fangyun Wei
Han Hu
ISeg
122
99
0
24 Dec 2020
Toward Transformer-Based Object Detection
Toward Transformer-Based Object Detection
Josh Beal
Eric Kim
Eric Tzeng
Dong Huk Park
Andrew Zhai
Dmitry Kislyuk
ViT
99
215
0
17 Dec 2020
Revisiting 3D Context Modeling with Supervised Pre-training for
  Universal Lesion Detection in CT Slices
Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices
Shu Zhen Zhang
Jincheng Xu
Yu-Chun Chen
Jiechao Ma
Zihao Li
Yizhou Wang
Yizhou Yu
MedIm
86
19
0
16 Dec 2020
Decoupled Self Attention for Accurate One Stage Object Detection
Decoupled Self Attention for Accurate One Stage Object Detection
Kehe Wu
Zuge Chen
Qi Ma
Xiaoliang Zhang
Wei Li
ObjD
35
0
0
14 Dec 2020
Simple Copy-Paste is a Strong Data Augmentation Method for Instance
  Segmentation
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi
Huayu Chen
A. Srinivas
Rui Qian
Nayeon Lee
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
375
995
0
13 Dec 2020
Contrastive Learning for Label-Efficient Semantic Segmentation
Contrastive Learning for Label-Efficient Semantic Segmentation
Xiangyu Zhao
Raviteja Vemulapalli
Philip Mansfield
Boqing Gong
Bradley Green
Lior Shapira
Ying Nian Wu
SSLSSeg
179
177
0
13 Dec 2020
The Lottery Tickets Hypothesis for Supervised and Self-supervised
  Pre-training in Computer Vision Models
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models
Tianlong Chen
Jonathan Frankle
Shiyu Chang
Sijia Liu
Yang Zhang
Michael Carbin
Zhangyang Wang
97
123
0
12 Dec 2020
UnrealPerson: An Adaptive Pipeline towards Costless Person
  Re-identification
UnrealPerson: An Adaptive Pipeline towards Costless Person Re-identification
Tianyu Zhang
Lingxi Xie
Longhui Wei
Zijie Zhuang
Yongfei Zhang
Yue Liu
Qi Tian
103
60
0
08 Dec 2020
Maximum Entropy Subspace Clustering Network
Maximum Entropy Subspace Clustering Network
Zhihao Peng
Yuheng Jia
Hui Liu
Junhui Hou
Qingfu Zhang
91
22
0
06 Dec 2020
Chair Segments: A Compact Benchmark for the Study of Object Segmentation
Chair Segments: A Compact Benchmark for the Study of Object Segmentation
Leticia Pinto-Alva
Ian K. Torres
Rosangel Garcia
Ziyan Yang
Vicente Ordonez
29
1
0
02 Dec 2020
Self-EMD: Self-Supervised Object Detection without ImageNet
Self-EMD: Self-Supervised Object Detection without ImageNet
Songtao Liu
Zeming Li
Jian Sun
SSLObjD
167
94
0
27 Nov 2020
How Well Do Self-Supervised Models Transfer?
How Well Do Self-Supervised Models Transfer?
Linus Ericsson
Henry Gouk
Timothy M. Hospedales
SSL
124
278
0
26 Nov 2020
Prior to Segment: Foreground Cues for Weakly Annotated Classes in
  Partially Supervised Instance Segmentation
Prior to Segment: Foreground Cues for Weakly Annotated Classes in Partially Supervised Instance Segmentation
David Biertimpel
Sindi Shkodrani
A. S. Baslamisli
N. Baka
ISeg
70
1
0
23 Nov 2020
Transfer Learning for Oral Cancer Detection using Microscopic Images
Transfer Learning for Oral Cancer Detection using Microscopic Images
Rutwik Palaskar
R. Vyas
Vilas Khedekar
S. Palaskar
Pranjal Sahu
41
18
0
23 Nov 2020
Ranking Neural Checkpoints
Ranking Neural Checkpoints
Yandong Li
Xuhui Jia
Ruoxin Sang
Yukun Zhu
Bradley Green
Liqiang Wang
Boqing Gong
FedMLELMUQCV
112
49
0
23 Nov 2020
Boundary-sensitive Pre-training for Temporal Localization in Videos
Boundary-sensitive Pre-training for Temporal Localization in Videos
Mengmeng Xu
Juan-Manuel Perez-Rua
Victor Escorcia
Brais Martínez
Xiatian Zhu
Li Zhang
Guohao Li
Tao Xiang
80
61
0
21 Nov 2020
DoDNet: Learning to segment multi-organ and tumors from multiple
  partially labeled datasets
DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets
Jianpeng Zhang
Yutong Xie
Yong-quan Xia
Chunhua Shen
134
158
0
20 Nov 2020
Defocus Blur Detection via Salient Region Detection Prior
Defocus Blur Detection via Salient Region Detection Prior
Ming Qian
Min Xia
Chunyi Sun
Zhiwei Wang
L. Weng
35
1
0
19 Nov 2020
Dense Contrastive Learning for Self-Supervised Visual Pre-Training
Dense Contrastive Learning for Self-Supervised Visual Pre-Training
Xinlong Wang
Rufeng Zhang
Chunhua Shen
Tao Kong
Lei Li
SSL
101
689
0
18 Nov 2020
UP-DETR: Unsupervised Pre-training for Object Detection with
  Transformers
UP-DETR: Unsupervised Pre-training for Object Detection with Transformers
Zhigang Dai
Bolun Cai
Yugeng Lin
Junying Chen
ViT
87
24
0
18 Nov 2020
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