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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
Filter Response Normalization Layer: Eliminating Batch Dependence in the
  Training of Deep Neural Networks
Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural NetworksComputer Vision and Pattern Recognition (CVPR), 2019
Saurabh Singh
Shankar Krishnan
UQCV
203
131
0
21 Nov 2019
EfficientDet: Scalable and Efficient Object Detection
EfficientDet: Scalable and Efficient Object DetectionComputer Vision and Pattern Recognition (CVPR), 2019
Mingxing Tan
Ruoming Pang
Quoc V. Le
959
6,247
0
20 Nov 2019
CenterMask : Real-Time Anchor-Free Instance Segmentation
CenterMask : Real-Time Anchor-Free Instance SegmentationComputer Vision and Pattern Recognition (CVPR), 2019
Youngwan Lee
Jongyoul Park
3DPCISeg
492
627
0
15 Nov 2019
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation LearningComputer Vision and Pattern Recognition (CVPR), 2019
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
2.1K
13,967
0
13 Nov 2019
PRNet: Self-Supervised Learning for Partial-to-Partial Registration
PRNet: Self-Supervised Learning for Partial-to-Partial RegistrationNeural Information Processing Systems (NeurIPS), 2019
Yue Wang
Justin Solomon
SSL3DPC
261
434
0
27 Oct 2019
Learning an Efficient Network for Large-Scale Hierarchical Object
  Detection with Data Imbalance: 3rd Place Solution to Open Images Challenge
  2019
Learning an Efficient Network for Large-Scale Hierarchical Object Detection with Data Imbalance: 3rd Place Solution to Open Images Challenge 2019
Xingyuan Bu
Junran Peng
Changbao Wang
Cunjun Yu
Guoliang Cao
ObjD
110
2
0
26 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerJournal of machine learning research (JMLR), 2019
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
1.5K
23,762
0
23 Oct 2019
FisheyeDistanceNet: Self-Supervised Scale-Aware Distance Estimation
  using Monocular Fisheye Camera for Autonomous Driving
FisheyeDistanceNet: Self-Supervised Scale-Aware Distance Estimation using Monocular Fisheye Camera for Autonomous DrivingIEEE International Conference on Robotics and Automation (ICRA), 2019
V. Kumar
S. Hiremath
Stefan Milz
Christian Witt
Clément Pinard
S. Yogamani
Patrick Mäder
MDE
579
81
0
07 Oct 2019
Revisiting Classical Bagging with Modern Transfer Learning for
  On-the-fly Disaster Damage Detector
Revisiting Classical Bagging with Modern Transfer Learning for On-the-fly Disaster Damage Detector
Jiaxing Huang
Seungwon Lee
Jingyi Zhang
Taegyun Jeon
151
6
0
04 Oct 2019
A Large-scale Study of Representation Learning with the Visual Task
  Adaptation Benchmark
A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark
Xiaohua Zhai
J. Puigcerver
Alexander Kolesnikov
P. Ruyssen
C. Riquelme
...
Michael Tschannen
Marcin Michalski
Olivier Bousquet
Sylvain Gelly
N. Houlsby
SSL
293
503
0
01 Oct 2019
Test-Time Training with Self-Supervision for Generalization under
  Distribution Shifts
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
Yu Sun
Xiaolong Wang
Zhuang Liu
John Miller
Alexei A. Efros
Moritz Hardt
TTAOOD
321
104
0
29 Sep 2019
Towards Understanding the Transferability of Deep Representations
Towards Understanding the Transferability of Deep Representations
Hong Liu
Mingsheng Long
Jianmin Wang
Sai Li
112
28
0
26 Sep 2019
Deep Model Transferability from Attribution Maps
Deep Model Transferability from Attribution MapsNeural Information Processing Systems (NeurIPS), 2019
Mingli Song
Yixin Chen
Xinchao Wang
Chengchao Shen
Xiuming Zhang
209
60
0
26 Sep 2019
Pretraining boosts out-of-domain robustness for pose estimation
Pretraining boosts out-of-domain robustness for pose estimationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
Alexander Mathis
Thomas Biasi
Steffen Schneider
Mert Yüksekgönül
Byron Rogers
Matthias Bethge
Mackenzie W. Mathis
OOD
214
135
0
24 Sep 2019
Multi-stage Pretraining for Abstractive Summarization
Multi-stage Pretraining for Abstractive Summarization
Sebastian Goodman
Zhenzhong Lan
Radu Soricut
168
6
0
23 Sep 2019
Understanding the Effects of Pre-Training for Object Detectors via
  Eigenspectrum
Understanding the Effects of Pre-Training for Object Detectors via Eigenspectrum
Yosuke Shinya
E. Simo-Serra
Taiji Suzuki
143
13
0
09 Sep 2019
Semantic-Aware Scene Recognition
Semantic-Aware Scene RecognitionPattern Recognition (Pattern Recognit.), 2019
Alejandro López-Cifuentes
Marcos Escudero-Viñolo
Jesús Bescós
Álvaro García-Martín
196
125
0
05 Sep 2019
Efficient Neural Architecture Transformation Searchin Channel-Level for
  Object Detection
Efficient Neural Architecture Transformation Searchin Channel-Level for Object DetectionNeural Information Processing Systems (NeurIPS), 2019
Junran Peng
Ming Sun
Zhaoxiang Zhang
Tieniu Tan
Junjie Yan
ViT
157
57
0
05 Sep 2019
POD: Practical Object Detection with Scale-Sensitive Network
POD: Practical Object Detection with Scale-Sensitive NetworkIEEE International Conference on Computer Vision (ICCV), 2019
Junran Peng
Ming Sun
Zhaoxiang Zhang
Tieniu Tan
Junjie Yan
ObjD
148
23
0
05 Sep 2019
VL-BERT: Pre-training of Generic Visual-Linguistic Representations
VL-BERT: Pre-training of Generic Visual-Linguistic RepresentationsInternational Conference on Learning Representations (ICLR), 2019
Weijie Su
Xizhou Zhu
Yue Cao
Bin Li
Lewei Lu
Furu Wei
Jifeng Dai
VLMMLLMSSL
634
1,795
0
22 Aug 2019
Deep High-Resolution Representation Learning for Visual Recognition
Deep High-Resolution Representation Learning for Visual RecognitionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Jingdong Wang
Ke Sun
Tianheng Cheng
Borui Jiang
Chaorui Deng
...
Yadong Mu
Zhuliang Yu
Xinggang Wang
Wenyu Liu
Bin Xiao
743
4,332
0
20 Aug 2019
Recent Advances in Deep Learning for Object Detection
Recent Advances in Deep Learning for Object Detection
Xiongwei Wu
Doyen Sahoo
Guosheng Lin
VLMObjD
303
891
0
10 Aug 2019
X-LineNet: Detecting Aircraft in Remote Sensing Images by a pair of
  Intersecting Line Segments
X-LineNet: Detecting Aircraft in Remote Sensing Images by a pair of Intersecting Line SegmentsIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2019
Haoran Wei
Yue Zhang
Bing Wang
Yang-Rui Yang
Hao Li
Hongqi Wang
ObjD
217
46
0
29 Jul 2019
Towards Adversarially Robust Object Detection
Towards Adversarially Robust Object DetectionIEEE International Conference on Computer Vision (ICCV), 2019
Haichao Zhang
Jianyu Wang
AAMLObjD
203
149
0
24 Jul 2019
Improving Prognostic Performance in Resectable Pancreatic Ductal
  Adenocarcinoma using Radiomics and Deep Learning Features Fusion in CT Images
Improving Prognostic Performance in Resectable Pancreatic Ductal Adenocarcinoma using Radiomics and Deep Learning Features Fusion in CT ImagesScientific Reports (Sci Rep), 2019
Yucheng Zhang
Edrise M. Lobo-Mueller
P. Karanicolas
S. Gallinger
M. Haider
Farzad Khalvati
MedIm
120
55
0
10 Jul 2019
Cascade R-CNN: High Quality Object Detection and Instance Segmentation
Cascade R-CNN: High Quality Object Detection and Instance SegmentationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Zhaowei Cai
Nuno Vasconcelos
ObjD
359
1,676
0
24 Jun 2019
MMDetection: Open MMLab Detection Toolbox and Benchmark
MMDetection: Open MMLab Detection Toolbox and Benchmark
Kai-xiang Chen
Yuan Liu
Jiangmiao Pang
Yuhang Cao
Yu Xiong
...
Jingdong Wang
Jianping Shi
Wanli Ouyang
Chen Change Loy
Dahua Lin
VOS
514
3,240
0
17 Jun 2019
Towards Real-Time Action Recognition on Mobile Devices Using Deep Models
Towards Real-Time Action Recognition on Mobile Devices Using Deep Models
Chen-Da Liu-Zhang
Xin-Xin Liu
Jianxin Wu
HAI
153
9
0
17 Jun 2019
Gated CRF Loss for Weakly Supervised Semantic Image SegmentationNeural Information Processing Systems (NeurIPS), 2019
Anton Obukhov
Stamatios Georgoulis
Dengxin Dai
Luc Van Gool
192
83
0
11 Jun 2019
Incremental Classifier Learning Based on PEDCC-Loss and Cosine Distance
Incremental Classifier Learning Based on PEDCC-Loss and Cosine DistanceMultimedia tools and applications (MTA), 2019
Qiuyu Zhu
Zikuang He
Xin Ye
CLL
93
6
0
11 Jun 2019
S-ConvNet: A Shallow Convolutional Neural Network Architecture for
  Neuromuscular Activity Recognition Using Instantaneous High-Density Surface
  EMG Images
S-ConvNet: A Shallow Convolutional Neural Network Architecture for Neuromuscular Activity Recognition Using Instantaneous High-Density Surface EMG ImagesAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019
M. Islam
Daniel Massicotte
F. Nougarou
P. Massicotte
Weiping Zhu
93
10
0
08 Jun 2019
Learning Representations by Maximizing Mutual Information Across Views
Learning Representations by Maximizing Mutual Information Across ViewsNeural Information Processing Systems (NeurIPS), 2019
Philip Bachman
R. Devon Hjelm
William Buchwalter
SSL
499
1,590
0
03 Jun 2019
A Comprehensive Study of ImageNet Pre-Training for Historical Document
  Image Analysis
A Comprehensive Study of ImageNet Pre-Training for Historical Document Image AnalysisIEEE International Conference on Document Analysis and Recognition (ICDAR), 2019
Linda Studer
Michele Alberti
Vinaychandran Pondenkandath
Pinar Goktepe
Thomas Kolonko
Andreas Fischer
Marcus Liwicki
Rolf Ingold
VLM
205
55
0
22 May 2019
Object Detection in 20 Years: A Survey
Object Detection in 20 Years: A SurveyProceedings of the IEEE (Proc. IEEE), 2019
Zhengxia Zou
Keyan Chen
Zhenwei Shi
Yuhong Guo
Jieping Ye
VLMObjDAI4TS
470
3,041
0
13 May 2019
Seesaw-Net: Convolution Neural Network With Uneven Group Convolution
Seesaw-Net: Convolution Neural Network With Uneven Group Convolution
Jintao Zhang
BDL
276
7
0
09 May 2019
Towards Instance-level Image-to-Image Translation
Towards Instance-level Image-to-Image TranslationComputer Vision and Pattern Recognition (CVPR), 2019
Zhiqiang Shen
Mingyang Huang
Jianping Shi
Xiangyang Xue
Thomas Huang
182
104
0
05 May 2019
Unsupervised Pre-Training of Image Features on Non-Curated Data
Unsupervised Pre-Training of Image Features on Non-Curated Data
Mathilde Caron
Piotr Bojanowski
Julien Mairal
Armand Joulin
SSL
251
9
0
03 May 2019
Billion-scale semi-supervised learning for image classification
Billion-scale semi-supervised learning for image classification
I. Z. Yalniz
Edouard Grave
Kan Chen
Manohar Paluri
D. Mahajan
SSL
345
477
0
02 May 2019
Solo or Ensemble? Choosing a CNN Architecture for Melanoma
  Classification
Solo or Ensemble? Choosing a CNN Architecture for Melanoma Classification
Fábio Perez
Sandra Avila
Eduardo Valle
160
59
0
29 Apr 2019
An Energy and GPU-Computation Efficient Backbone Network for Real-Time
  Object Detection
An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection
Youngwan Lee
Joong-won Hwang
Sangrok Lee
Yuseok Bae
Jongyoul Park
PINNObjD
164
449
0
22 Apr 2019
An Analysis of Pre-Training on Object Detection
An Analysis of Pre-Training on Object Detection
Hengduo Li
Bharat Singh
Mahyar Najibi
Zuxuan Wu
L. Davis
ObjD
177
41
0
11 Apr 2019
Learning Across Tasks and Domains
Learning Across Tasks and Domains
Pierluigi Zama Ramirez
A. Tonioni
Samuele Salti
Luigi Di Stefano
148
32
0
09 Apr 2019
BoLTVOS: Box-Level Tracking for Video Object Segmentation
BoLTVOS: Box-Level Tracking for Video Object Segmentation
P. Voigtlaender
Jonathon Luiten
Bastian Leibe
VOS
147
27
0
09 Apr 2019
High-Resolution Representations for Labeling Pixels and Regions
High-Resolution Representations for Labeling Pixels and Regions
Ke Sun
Yang Zhao
Borui Jiang
Tianheng Cheng
Bin Xiao
Dong Liu
Yadong Mu
Xinggang Wang
Wenyu Liu
Jingdong Wang
SSeg
251
855
0
09 Apr 2019
Med3D: Transfer Learning for 3D Medical Image Analysis
Med3D: Transfer Learning for 3D Medical Image Analysis
Sihong Chen
Kai Ma
Yefeng Zheng
MedIm
434
585
0
01 Apr 2019
ResUNet-a: a deep learning framework for semantic segmentation of
  remotely sensed data
ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data
F. Diakogiannis
F. Waldner
P. Caccetta
Chen Wu
SSeg
397
1,649
0
01 Apr 2019
TensorMask: A Foundation for Dense Object Segmentation
TensorMask: A Foundation for Dense Object Segmentation
Xinlei Chen
Ross B. Girshick
Kaiming He
Piotr Dollár
ISeg
258
351
0
28 Mar 2019
DetNAS: Backbone Search for Object Detection
DetNAS: Backbone Search for Object Detection
Yukang Chen
Tong Yang
Xinming Zhang
Gaofeng Meng
Xinyu Xiao
Jian Sun
331
279
0
26 Mar 2019
Real time backbone for semantic segmentation
Real time backbone for semantic segmentation
Zhengeng Yang
Hongshan Yu
Q. Fu
Wei Sun
Wenyan Jia
Mingui Sun
Zhihong Mao
SSeg
67
0
0
16 Mar 2019
GolfDB: A Video Database for Golf Swing Sequencing
GolfDB: A Video Database for Golf Swing Sequencing
William J. McNally
Kanav Vats
T. Pinto
Chris Dulhanty
J. McPhee
A. Wong
158
65
0
15 Mar 2019
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