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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 / 513 papers shown
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
145
12
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
125
12
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
144
74
0
18 Apr 2021
Neural Transfer Learning for Repairing Security Vulnerabilities in C
  Code
Neural Transfer Learning for Repairing Security Vulnerabilities in C CodeIEEE Transactions on Software Engineering (TSE), 2021
Zimin Chen
Steve Kommrusch
Monperrus Martin
252
154
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
137
36
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
194
23
0
09 Apr 2021
Learning specialized activation functions with the Piecewise Linear Unit
Learning specialized activation functions with the Piecewise Linear UnitIEEE International Conference on Computer Vision (ICCV), 2021
Yucong Zhou
Zezhou Zhu
Zhaobai Zhong
152
17
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 segmentationIEEE International Conference on Computer Vision (ICCV), 2021
Vighnesh Birodkar
Zhichao Lu
Siyang Li
V. Rathod
Jonathan Huang
ISeg
324
31
0
01 Apr 2021
DAP: Detection-Aware Pre-training with Weak Supervision
DAP: Detection-Aware Pre-training with Weak SupervisionComputer Vision and Pattern Recognition (CVPR), 2021
Yuanyi Zhong
Jianfeng Wang
Lijuan Wang
Jian-wei Peng
Yu-Xiong Wang
Lei Zhang
213
16
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
134
25
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 LocalizationNeural Information Processing Systems (NeurIPS), 2021
Mengmeng Xu
Juan-Manuel Perez-Rua
Xiatian Zhu
Guohao Li
Brais Martinez
300
30
0
28 Mar 2021
USB: Universal-Scale Object Detection Benchmark
USB: Universal-Scale Object Detection BenchmarkBritish Machine Vision Conference (BMVC), 2021
Yosuke Shinya
ObjD
348
17
0
25 Mar 2021
Rethinking Self-Supervised Learning: Small is Beautiful
Rethinking Self-Supervised Learning: Small is Beautiful
Yun Cao
Jianxin Wu
SSL
119
24
0
25 Mar 2021
Can Vision Transformers Learn without Natural Images?
Can Vision Transformers Learn without Natural Images?AAAI Conference on Artificial Intelligence (AAAI), 2021
Kodai Nakashima
Hirokatsu Kataoka
Asato Matsumoto
K. Iwata
Nakamasa Inoue
ViT
107
41
0
24 Mar 2021
Robust and Accurate Object Detection via Adversarial Learning
Robust and Accurate Object Detection via Adversarial LearningComputer Vision and Pattern Recognition (CVPR), 2021
Xiangning Chen
Cihang Xie
Mingxing Tan
Li Zhang
Cho-Jui Hsieh
Boqing Gong
AAML
135
76
0
23 Mar 2021
Efficient Visual Pretraining with Contrastive Detection
Efficient Visual Pretraining with Contrastive DetectionIEEE International Conference on Computer Vision (ICCV), 2021
Olivier J. Hénaff
Skanda Koppula
Jean-Baptiste Alayrac
Aaron van den Oord
Oriol Vinyals
João Carreira
VLMSSL
246
178
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
151
6
0
19 Mar 2021
Spatially Consistent Representation Learning
Spatially Consistent Representation LearningComputer Vision and Pattern Recognition (CVPR), 2021
Byungseok Roh
Wuhyun Shin
Ildoo Kim
Sungwoong Kim
SSL
169
96
0
10 Mar 2021
Deeply Unsupervised Patch Re-Identification for Pre-training Object
  Detectors
Deeply Unsupervised Patch Re-Identification for Pre-training Object DetectorsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Jian Ding
Enze Xie
Hang Xu
Chenhan Jiang
Zhenguo Li
Ping Luo
Guisong Xia
126
20
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
178
37
0
01 Mar 2021
Self-Tuning for Data-Efficient Deep Learning
Self-Tuning for Data-Efficient Deep LearningInternational Conference on Machine Learning (ICML), 2021
Ximei Wang
Jing Gao
Mingsheng Long
Jianmin Wang
BDL
187
78
0
25 Feb 2021
LogME: Practical Assessment of Pre-trained Models for Transfer Learning
LogME: Practical Assessment of Pre-trained Models for Transfer LearningInternational Conference on Machine Learning (ICML), 2021
Kaichao You
Yong Liu
Jianmin Wang
Mingsheng Long
322
233
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 DetectionIEEE International Conference on Computer Vision (ICCV), 2021
Cheng Zhang
Tai-Yu Pan
Yandong Li
Hexiang Hu
D. Xuan
Soravit Changpinyo
Boqing Gong
Wei-Lun Chao
ObjDVLM
338
47
0
17 Feb 2021
Instance Localization for Self-supervised Detection Pretraining
Instance Localization for Self-supervised Detection PretrainingComputer Vision and Pattern Recognition (CVPR), 2021
Ceyuan Yang
Zhirong Wu
Bolei Zhou
Stephen Lin
ViTSSL
384
156
0
16 Feb 2021
DetCo: Unsupervised Contrastive Learning for Object Detection
DetCo: Unsupervised Contrastive Learning for Object DetectionIEEE International Conference on Computer Vision (ICCV), 2021
Enze Xie
Jian Ding
Wenhai Wang
Xiaohang Zhan
Hang Xu
Peize Sun
Zhenguo Li
Ping Luo
254
351
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
141
22
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
189
49
0
07 Feb 2021
Instance and Panoptic Segmentation Using Conditional Convolutions
Instance and Panoptic Segmentation Using Conditional ConvolutionsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Zhi Tian
Bowen Zhang
Hao Chen
Chunhua Shen
ISeg
369
54
0
05 Feb 2021
Scaling Laws for Transfer
Scaling Laws for Transfer
Danny Hernandez
Jared Kaplan
T. Henighan
Sam McCandlish
478
285
0
02 Feb 2021
PSLA: Improving Audio Tagging with Pretraining, Sampling, Labeling, and
  Aggregation
PSLA: Improving Audio Tagging with Pretraining, Sampling, Labeling, and AggregationIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2021
Yuan Gong
Yu-An Chung
James R. Glass
VLM
366
169
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
345
56
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 dataFrontiers in Human Neuroscience (Front Hum Neurosci), 2021
Demetres Kostas
Stephane Aroca-Ouellette
Frank Rudzicz
SSL
237
283
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 InterpretationACM Conference on Health, Inference, and Learning (CHIL), 2021
Alexander Ke
William Ellsworth
Oishi Banerjee
A. Ng
Pranav Rajpurkar
MedIm
229
120
0
18 Jan 2021
Context-aware Attentional Pooling (CAP) for Fine-grained Visual
  Classification
Context-aware Attentional Pooling (CAP) for Fine-grained Visual ClassificationAAAI Conference on Artificial Intelligence (AAAI), 2021
Ardhendu Behera
Zachary Wharton
Pradeep Ruwan Padmasiri Galbokka Hewage
Asish Bera
250
126
0
17 Jan 2021
Self-Supervised Representation Learning from Flow Equivariance
Self-Supervised Representation Learning from Flow EquivarianceIEEE International Conference on Computer Vision (ICCV), 2021
Yuwen Xiong
Mengye Ren
Wenyuan Zeng
R. Urtasun
SSL
255
30
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
165
10
0
07 Jan 2021
Global Context Networks
Global Context NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Yue Cao
Jiarui Xu
Stephen Lin
Fangyun Wei
Han Hu
ISeg
230
128
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
255
242
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 SlicesInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020
Shu Zhen Zhang
Jincheng Xu
Yu-Chun Chen
Jiechao Ma
Zihao Li
Yizhou Wang
Yizhou Yu
MedIm
169
23
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
165
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 SegmentationComputer Vision and Pattern Recognition (CVPR), 2020
Golnaz Ghiasi
Huayu Chen
A. Srinivas
Rui Qian
Nayeon Lee
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
801
1,112
0
13 Dec 2020
Contrastive Learning for Label-Efficient Semantic Segmentation
Contrastive Learning for Label-Efficient Semantic SegmentationIEEE International Conference on Computer Vision (ICCV), 2020
Xiangyu Zhao
Raviteja Vemulapalli
Philip Mansfield
Boqing Gong
Bradley Green
Lior Shapira
Ying Nian Wu
SSLSSeg
619
198
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 ModelsComputer Vision and Pattern Recognition (CVPR), 2020
Tianlong Chen
Jonathan Frankle
Shiyu Chang
Sijia Liu
Yang Zhang
Michael Carbin
Zinan Lin
280
135
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
256
78
0
08 Dec 2020
Maximum Entropy Subspace Clustering Network
Maximum Entropy Subspace Clustering Network
Zhihao Peng
Yuheng Jia
Hui Liu
Xianqiang Lyu
Qingfu Zhang
346
27
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
94
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
442
98
0
27 Nov 2020
How Well Do Self-Supervised Models Transfer?
How Well Do Self-Supervised Models Transfer?Computer Vision and Pattern Recognition (CVPR), 2020
Linus Ericsson
Henry Gouk
Timothy M. Hospedales
SSL
390
304
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
201
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
93
21
0
23 Nov 2020
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