ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1811.08883
  4. Cited By
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
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 Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
834
20,447
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 Driving
V. Kumar
S. Hiremath
Stefan Milz
Christian Witt
Clément Pinard
S. Yogamani
Patrick Mäder
MDE
173
73
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
49
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
97
448
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
99
96
0
29 Sep 2019
Towards Understanding the Transferability of Deep Representations
Towards Understanding the Transferability of Deep Representations
Hong Liu
Mingsheng Long
Jianmin Wang
Michael I. Jordan
66
26
0
26 Sep 2019
Deep Model Transferability from Attribution Maps
Deep Model Transferability from Attribution Maps
Mingli Song
Yixin Chen
Xinchao Wang
Chengchao Shen
Xiuming Zhang
98
55
0
26 Sep 2019
Pretraining boosts out-of-domain robustness for pose estimation
Pretraining boosts out-of-domain robustness for pose estimation
Alexander Mathis
Thomas Biasi
Steffen Schneider
Mert Yüksekgönül
Byron Rogers
Matthias Bethge
Mackenzie W. Mathis
OOD
109
126
0
24 Sep 2019
Multi-stage Pretraining for Abstractive Summarization
Multi-stage Pretraining for Abstractive Summarization
Sebastian Goodman
Zhenzhong Lan
Radu Soricut
56
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
48
12
0
09 Sep 2019
Semantic-Aware Scene Recognition
Semantic-Aware Scene Recognition
Alejandro López-Cifuentes
Marcos Escudero-Viñolo
Jesús Bescós
Álvaro García-Martín
77
106
0
05 Sep 2019
Efficient Neural Architecture Transformation Searchin Channel-Level for
  Object Detection
Efficient Neural Architecture Transformation Searchin Channel-Level for Object Detection
Junran Peng
Ming Sun
Zhaoxiang Zhang
Tieniu Tan
Junjie Yan
ViT
86
56
0
05 Sep 2019
POD: Practical Object Detection with Scale-Sensitive Network
POD: Practical Object Detection with Scale-Sensitive Network
Junran Peng
Ming Sun
Zhaoxiang Zhang
Tieniu Tan
Junjie Yan
ObjD
88
22
0
05 Sep 2019
VL-BERT: Pre-training of Generic Visual-Linguistic Representations
VL-BERT: Pre-training of Generic Visual-Linguistic Representations
Weijie Su
Xizhou Zhu
Yue Cao
Bin Li
Lewei Lu
Furu Wei
Jifeng Dai
VLMMLLMSSL
312
1,672
0
22 Aug 2019
Deep High-Resolution Representation Learning for Visual Recognition
Deep High-Resolution Representation Learning for Visual Recognition
Jingdong Wang
Ke Sun
Tianheng Cheng
Borui Jiang
Chaorui Deng
...
Yadong Mu
Mingkui Tan
Xinggang Wang
Wenyu Liu
Bin Xiao
408
3,655
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
131
824
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 Segments
Haoran Wei
Yue Zhang
Bing Wang
Yang-Rui Yang
Hao Li
Hongqi Wang
ObjD
89
45
0
29 Jul 2019
Towards Adversarially Robust Object Detection
Towards Adversarially Robust Object Detection
Haichao Zhang
Jianyu Wang
AAMLObjD
139
131
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 Images
Yucheng Zhang
Edrise M. Lobo-Mueller
P. Karanicolas
S. Gallinger
M. Haider
Farzad Khalvati
MedIm
42
44
0
10 Jul 2019
Cascade R-CNN: High Quality Object Detection and Instance Segmentation
Cascade R-CNN: High Quality Object Detection and Instance Segmentation
Zhaowei Cai
Nuno Vasconcelos
ObjD
119
1,374
0
24 Jun 2019
MMDetection: Open MMLab Detection Toolbox and Benchmark
MMDetection: Open MMLab Detection Toolbox and Benchmark
Kai-xiang Chen
Jiaqi Wang
Jiangmiao Pang
Yuhang Cao
Yu Xiong
...
Jingdong Wang
Jianping Shi
Wanli Ouyang
Chen Change Loy
Dahua Lin
VOS
240
2,893
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
31
9
0
17 Jun 2019
Gated CRF Loss for Weakly Supervised Semantic Image Segmentation
Anton Obukhov
Stamatios Georgoulis
Dengxin Dai
Luc Van Gool
80
78
0
11 Jun 2019
Incremental Classifier Learning Based on PEDCC-Loss and Cosine Distance
Incremental Classifier Learning Based on PEDCC-Loss and Cosine Distance
Qiuyu Zhu
Zikuang He
Xin Ye
CLL
47
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 Images
M. Islam
Daniel Massicotte
F. Nougarou
P. Massicotte
Weiping Zhu
36
9
0
08 Jun 2019
Learning Representations by Maximizing Mutual Information Across Views
Learning Representations by Maximizing Mutual Information Across Views
Philip Bachman
R. Devon Hjelm
William Buchwalter
SSL
219
1,481
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 Analysis
Linda Studer
Michele Alberti
Vinaychandran Pondenkandath
Pinar Goktepe
Thomas Kolonko
Andreas Fischer
Marcus Liwicki
Rolf Ingold
VLM
162
52
0
22 May 2019
Object Detection in 20 Years: A Survey
Object Detection in 20 Years: A Survey
Zhengxia Zou
Keyan Chen
Zhenwei Shi
Yuhong Guo
Jieping Ye
VLMObjDAI4TS
166
2,416
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
65
7
0
09 May 2019
Towards Instance-level Image-to-Image Translation
Towards Instance-level Image-to-Image Translation
Zhiqiang Shen
Mingyang Huang
Jianping Shi
Xiangyang Xue
Thomas Huang
94
103
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
85
9
0
03 May 2019
Billion-scale semi-supervised learning for image classification
Billion-scale semi-supervised learning for image classification
I. Z. Yalniz
Hervé Jégou
Kan Chen
Manohar Paluri
D. Mahajan
SSL
146
464
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
67
56
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
76
373
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
60
39
0
11 Apr 2019
Learning Across Tasks and Domains
Learning Across Tasks and Domains
Pierluigi Zama Ramirez
A. Tonioni
Samuele Salti
Luigi Di Stefano
71
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
51
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
85
784
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
73
467
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
155
1,359
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
94
323
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
128
265
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
26
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
59
55
0
15 Mar 2019
To Tune or Not to Tune? Adapting Pretrained Representations to Diverse
  Tasks
To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks
Matthew E. Peters
Sebastian Ruder
Noah A. Smith
111
441
0
14 Mar 2019
CE-Net: Context Encoder Network for 2D Medical Image Segmentation
CE-Net: Context Encoder Network for 2D Medical Image Segmentation
Zaiwang Gu
Jun Cheng
Huazhu Fu
Kang Zhou
Huaying Hao
Yitian Zhao
Tianyang Zhang
Shenghua Gao
Jiang-Dong Liu
SSeg
90
1,652
0
07 Mar 2019
Robust Lane Detection from Continuous Driving Scenes Using Deep Neural
  Networks
Robust Lane Detection from Continuous Driving Scenes Using Deep Neural Networks
Qin Zou
Hanwen Jiang
Qiyu Dai
Yuanhao Yue
Long Chen
Qian Wang
117
308
0
06 Mar 2019
3D convolutional neural network for abdominal aortic aneurysm
  segmentation
3D convolutional neural network for abdominal aortic aneurysm segmentation
Karen López-Linares
Inmaculada García
Ainhoa García-Familiar
I. Macía
M. A. G. Ballester
MedIm
45
15
0
03 Mar 2019
Segmentation of Roots in Soil with U-Net
Segmentation of Roots in Soil with U-Net
Abraham George Smith
Jens Petersen
Raghavendra Selvan
C. Rasmussen
70
125
0
28 Feb 2019
U-NetPlus: A Modified Encoder-Decoder U-Net Architecture for Semantic
  and Instance Segmentation of Surgical Instrument
U-NetPlus: A Modified Encoder-Decoder U-Net Architecture for Semantic and Instance Segmentation of Surgical Instrument
S. Hasan
Cristian A. Linte
MedIm
88
95
0
24 Feb 2019
Previous
123...10119
Next