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
What Makes Transfer Learning Work For Medical Images: Feature Reuse &
  Other Factors
What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors
Christos Matsoukas
Johan Fredin Haslum
Moein Sorkhei
Magnus P Soderberg
Kevin Smith
VLMOODMedIm
134
88
0
02 Mar 2022
Movies2Scenes: Using Movie Metadata to Learn Scene Representation
Movies2Scenes: Using Movie Metadata to Learn Scene Representation
Shixing Chen
Chundi Liu
Xiang Hao
Xiaohan Nie
Maxim Arap
Raffay Hamid
67
17
0
22 Feb 2022
Nuclei Segmentation with Point Annotations from Pathology Images via
  Self-Supervised Learning and Co-Training
Nuclei Segmentation with Point Annotations from Pathology Images via Self-Supervised Learning and Co-Training
Yi Lin
Z. Qu
Hao Chen
Zhongke Gao
Yuexiang Li
Lili Xia
Kai Ma
Yefeng Zheng
Kwang-Ting Cheng
70
27
0
16 Feb 2022
GiraffeDet: A Heavy-Neck Paradigm for Object Detection
GiraffeDet: A Heavy-Neck Paradigm for Object Detection
Yiqi Jiang
Zhiyu Tan
Junyan Wang
Xiuyu Sun
Ming Lin
Hao Li
ObjD
76
94
0
09 Feb 2022
How Low Can We Go? Pixel Annotation for Semantic Segmentation
How Low Can We Go? Pixel Annotation for Semantic Segmentation
Daniel Kigli
Ariel Shamir
S. Avidan
VLM
60
1
0
25 Jan 2022
VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning
  Challenges
VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning Challenges
A. Lengyel
Robert-Jan Bruintjes
Marcos Baptista-Rios
O. Kayhan
Davide Zambrano
Nergis Tomen
Jan van Gemert
VLM
70
11
0
21 Jan 2022
Transferability in Deep Learning: A Survey
Transferability in Deep Learning: A Survey
Junguang Jiang
Yang Shu
Jianmin Wang
Mingsheng Long
OOD
93
105
0
15 Jan 2022
Advancing 3D Medical Image Analysis with Variable Dimension Transform
  based Supervised 3D Pre-training
Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training
Shu Zhen Zhang
Zihao Li
Hong-Yu Zhou
Jiechao Ma
Yizhou Yu
60
12
0
05 Jan 2022
Underwater Object Classification and Detection: first results and open
  challenges
Underwater Object Classification and Detection: first results and open challenges
Andre Jesus
Claudio Zito
Claudio Tortorici
E. Roura
G. D. Masi
ObjD
48
12
0
04 Jan 2022
Ghost-dil-NetVLAD: A Lightweight Neural Network for Visual Place
  Recognition
Ghost-dil-NetVLAD: A Lightweight Neural Network for Visual Place Recognition
Qingyuan Gong
Yu Liu
Liqiang Zhang
Renhe Liu
ObjDVLM
135
4
0
22 Dec 2021
PeopleSansPeople: A Synthetic Data Generator for Human-Centric Computer
  Vision
PeopleSansPeople: A Synthetic Data Generator for Human-Centric Computer Vision
Salehe Erfanian Ebadi
Y. Jhang
Alexander Zook
S. Dhakad
A. Crespi
Pete Parisi
S. Borkman
Jonathan Hogins
Sujoy Ganguly
71
21
0
17 Dec 2021
An Empirical Investigation of the Role of Pre-training in Lifelong
  Learning
An Empirical Investigation of the Role of Pre-training in Lifelong Learning
Sanket Vaibhav Mehta
Darshan Patil
Sarath Chandar
Emma Strubell
CLL
151
145
0
16 Dec 2021
An Adaptive Graph Pre-training Framework for Localized Collaborative
  Filtering
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering
Yiqi Wang
Chaozhuo Li
Zheng Liu
Mingzheng Li
Jiliang Tang
Xing Xie
Lei Chen
Philip S. Yu
70
23
0
14 Dec 2021
Self-Supervised Modality-Aware Multiple Granularity Pre-Training for
  RGB-Infrared Person Re-Identification
Self-Supervised Modality-Aware Multiple Granularity Pre-Training for RGB-Infrared Person Re-Identification
Lin Wan
Qianyan Jing
Zongyuan Sun
Chuan Zhang
Zhihang Li
Yehansen Chen
SSL
77
5
0
12 Dec 2021
Learning from the Tangram to Solve Mini Visual Tasks
Learning from the Tangram to Solve Mini Visual Tasks
Yizhou Zhao
Liang Qiu
Pan Lu
Feng Shi
Tian Han
Song-Chun Zhu
90
5
0
12 Dec 2021
RSBNet: One-Shot Neural Architecture Search for A Backbone Network in
  Remote Sensing Image Recognition
RSBNet: One-Shot Neural Architecture Search for A Backbone Network in Remote Sensing Image Recognition
Cheng Peng
Yangyang Li
Ronghua Shang
L. Jiao
91
14
0
07 Dec 2021
Revisiting the Transferability of Supervised Pretraining: an MLP
  Perspective
Revisiting the Transferability of Supervised Pretraining: an MLP Perspective
Yizhou Wang
Shixiang Tang
Feng Zhu
Lei Bai
Rui Zhao
Donglian Qi
Wanli Ouyang
104
53
0
01 Dec 2021
CLIP Meets Video Captioning: Concept-Aware Representation Learning Does
  Matter
CLIP Meets Video Captioning: Concept-Aware Representation Learning Does Matter
Bang-ju Yang
Tong Zhang
Yuexian Zou
CLIP
70
20
0
30 Nov 2021
MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for
  Efficient Object Detection
MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection
Zhenhong Sun
Ming Lin
Xiuyu Sun
Zhiyu Tan
Hao Li
Rong Jin
143
33
0
26 Nov 2021
A Close Look at Few-shot Real Image Super-resolution from the Distortion
  Relation Perspective
A Close Look at Few-shot Real Image Super-resolution from the Distortion Relation Perspective
Xin Li
Xin Jin
Jun Fu
Xiaoyuan Yu
Bei Tong
Zhibo Chen
SupR
47
2
0
25 Nov 2021
Improved Fine-Tuning by Better Leveraging Pre-Training Data
Improved Fine-Tuning by Better Leveraging Pre-Training Data
Ziquan Liu
Yi Tian Xu
Yuanhong Xu
Qi Qian
Hao Li
Xiangyang Ji
Antoni B. Chan
Rong Jin
65
42
0
24 Nov 2021
An Educated Warm Start For Deep Image Prior-Based Micro CT
  Reconstruction
An Educated Warm Start For Deep Image Prior-Based Micro CT Reconstruction
Riccardo Barbano
Johannes Leuschner
Maximilian Schmidt
Alexander Denker
A. Hauptmann
Peter Maass
Bangti Jin
102
21
0
23 Nov 2021
Benchmarking Detection Transfer Learning with Vision Transformers
Benchmarking Detection Transfer Learning with Vision Transformers
Yanghao Li
Saining Xie
Xinlei Chen
Piotr Dollar
Kaiming He
Ross B. Girshick
113
170
0
22 Nov 2021
TransMix: Attend to Mix for Vision Transformers
TransMix: Attend to Mix for Vision Transformers
Jieneng Chen
Shuyang Sun
Ju He
Philip Torr
Alan Yuille
S. Bai
ViT
125
110
0
18 Nov 2021
Improved Regularization and Robustness for Fine-tuning in Neural
  Networks
Improved Regularization and Robustness for Fine-tuning in Neural Networks
Dongyue Li
Hongyang R. Zhang
NoLa
98
56
0
08 Nov 2021
Personalized Benchmarking with the Ludwig Benchmarking Toolkit
Personalized Benchmarking with the Ludwig Benchmarking Toolkit
A. Narayan
Piero Molino
Karan Goel
Willie Neiswanger
Christopher Ré
76
11
0
08 Nov 2021
Recognizing Vector Graphics without Rasterization
Recognizing Vector Graphics without Rasterization
Xinyang Jiang
Lu Liu
Caihua Shan
Yifei Shen
Xuanyi Dong
Dongsheng Li
GNN
84
20
0
05 Nov 2021
Self-Supervised Knowledge Transfer via Loosely Supervised Auxiliary
  Tasks
Self-Supervised Knowledge Transfer via Loosely Supervised Auxiliary Tasks
Seungbum Hong
Jihun Yoon
Junmo Kim
Min-Kook Choi
SSL
28
1
0
25 Oct 2021
A Closer Look at Few-Shot Video Classification: A New Baseline and
  Benchmark
A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark
Zhenxi Zhu
Limin Wang
Sheng Guo
Gangshan Wu
148
32
0
24 Oct 2021
An attention-driven hierarchical multi-scale representation for visual
  recognition
An attention-driven hierarchical multi-scale representation for visual recognition
Zachary Wharton
Chenglong Bao
Asish Bera
BDL
82
1
0
23 Oct 2021
StyleAlign: Analysis and Applications of Aligned StyleGAN Models
StyleAlign: Analysis and Applications of Aligned StyleGAN Models
Zongze Wu
Yotam Nitzan
Eli Shechtman
Dani Lischinski
127
58
0
21 Oct 2021
Training Deep Neural Networks with Joint Quantization and Pruning of
  Weights and Activations
Training Deep Neural Networks with Joint Quantization and Pruning of Weights and Activations
Xinyu Zhang
Ian Colbert
Ken Kreutz-Delgado
Srinjoy Das
MQ
100
12
0
15 Oct 2021
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot
  Learning
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning
Yang Shu
Zhangjie Cao
Jing Gao
Jianmin Wang
Philip S. Yu
Mingsheng Long
111
11
0
14 Oct 2021
Dense Uncertainty Estimation
Dense Uncertainty Estimation
Jing Zhang
Yuchao Dai
Mochu Xiang
Deng-Ping Fan
Peyman Moghadam
Mingyi He
Christian J. Walder
Kaihao Zhang
Mehrtash Harandi
Nick Barnes
UQCVBDL
133
11
0
13 Oct 2021
Rethinking Person Re-Identification via Semantic-Based Pretraining
Rethinking Person Re-Identification via Semantic-Based Pretraining
Suncheng Xiang
Jingsheng Gao
Zi-Yu Zhang
Mengyuan Guan
Binghai Yan
Ting Liu
Xiaobo Li
Yuzhuo Fu
VLM
111
11
0
11 Oct 2021
Deep Long-Tailed Learning: A Survey
Deep Long-Tailed Learning: A Survey
Yifan Zhang
Bingyi Kang
Bryan Hooi
Shuicheng Yan
Jiashi Feng
VLM
117
596
0
09 Oct 2021
Improving Fractal Pre-training
Improving Fractal Pre-training
Connor Anderson
Ryan Farrell
143
27
0
06 Oct 2021
On the Surrogate Gap between Contrastive and Supervised Losses
On the Surrogate Gap between Contrastive and Supervised Losses
Han Bao
Yoshihiro Nagano
Kento Nozawa
SSLUQCV
87
22
0
06 Oct 2021
Video Temporal Relationship Mining for Data-Efficient Person
  Re-identification
Video Temporal Relationship Mining for Data-Efficient Person Re-identification
Siyu Chen
Dengjie Li
Lishuai Gao
Fan Liang
Wei Zhang
Ling-guo Ma
49
1
0
01 Oct 2021
Automated Multi-Process CTC Detection using Deep Learning
Automated Multi-Process CTC Detection using Deep Learning
E. Ivanova
K. Leong
Andrew F. Laine
19
2
0
26 Sep 2021
Long Short View Feature Decomposition via Contrastive Video
  Representation Learning
Long Short View Feature Decomposition via Contrastive Video Representation Learning
Nadine Behrmann
Mohsen Fayyaz
Juergen Gall
M. Noroozi
66
36
0
23 Sep 2021
LGD: Label-guided Self-distillation for Object Detection
LGD: Label-guided Self-distillation for Object Detection
Peizhen Zhang
Zijian Kang
Tong Yang
Xinming Zhang
N. Zheng
Jian Sun
ObjD
181
31
0
23 Sep 2021
A Study of the Generalizability of Self-Supervised Representations
A Study of the Generalizability of Self-Supervised Representations
Atharva Tendle
Mohammad Rashedul Hasan
159
28
0
19 Sep 2021
Label Assignment Distillation for Object Detection
Hailun Zhang
26
2
0
16 Sep 2021
Multi-Scale Aligned Distillation for Low-Resolution Detection
Multi-Scale Aligned Distillation for Low-Resolution Detection
Lu Qi
Jason Kuen
Jiuxiang Gu
Zhe Lin
Yi Wang
Yukang Chen
Yanwei Li
Jiaya Jia
96
53
0
14 Sep 2021
Shape-Biased Domain Generalization via Shock Graph Embeddings
Shape-Biased Domain Generalization via Shock Graph Embeddings
M. Narayanan
Vickram Rajendran
Benjamin Kimia
73
14
0
13 Sep 2021
A Survey on Machine Learning Techniques for Auto Labeling of Video,
  Audio, and Text Data
A Survey on Machine Learning Techniques for Auto Labeling of Video, Audio, and Text Data
Shikun Zhang
Omid Jafari
P. Nagarkar
VLM
36
24
0
08 Sep 2021
Learning 3D Mineral Prospectivity from 3D Geological Models Using
  Convolutional Neural Networks: Application to a Structure-controlled
  Hydrothermal Gold Deposit
Learning 3D Mineral Prospectivity from 3D Geological Models Using Convolutional Neural Networks: Application to a Structure-controlled Hydrothermal Gold Deposit
Hao Deng
Yang Zheng
Jin Chen
Shuyang Yu
K. Xiao
Xiancheng Mao
32
45
0
02 Sep 2021
Benchmarking the Robustness of Instance Segmentation Models
Benchmarking the Robustness of Instance Segmentation Models
Said Fahri Altindis
Yusuf Dalva
Hamza Pehlivan
Aysegül Dündar
VLMOOD
225
12
0
02 Sep 2021
AP-10K: A Benchmark for Animal Pose Estimation in the Wild
AP-10K: A Benchmark for Animal Pose Estimation in the Wild
Hang Yu
Yufei Xu
Jing Zhang
Wei Zhao
Ziyu Guan
Dacheng Tao
111
113
0
28 Aug 2021
Previous
123456...91011
Next