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What makes ImageNet good for transfer learning?
v1v2 (latest)

What makes ImageNet good for transfer learning?

30 August 2016
Minyoung Huh
Pulkit Agrawal
Alexei A. Efros
    OODSSegVLMSSL
ArXiv (abs)PDFHTML

Papers citing "What makes ImageNet good for transfer learning?"

50 / 320 papers shown
Meta-Neighborhoods
Meta-NeighborhoodsNeural Information Processing Systems (NeurIPS), 2019
Siyuan Shan
Yang Li
Junier Oliva
283
16
0
18 Sep 2019
Semantic and Visual Similarities for Efficient Knowledge Transfer in CNN
  Training
Semantic and Visual Similarities for Efficient Knowledge Transfer in CNN TrainingInternational Conference on Content-Based Multimedia Indexing (CBMI), 2019
Lucas Pascal
Xavier Bost
B. Huet
42
2
0
13 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
Effective Domain Knowledge Transfer with Soft Fine-tuning
Effective Domain Knowledge Transfer with Soft Fine-tuning
Zhichen Zhao
Bowen Zhang
Yuning Jiang
Li Xu
Lei Li
Wei-Ying Ma
152
3
0
05 Sep 2019
Improving Automatic Jazz Melody Generation by Transfer Learning
  Techniques
Improving Automatic Jazz Melody Generation by Transfer Learning TechniquesAsia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2019
Hsiao-Tzu Hung
Chung-Yang Wang
Yi-Hsuan Yang
Hsin-Min Wang
107
22
0
26 Aug 2019
Situational Fusion of Visual Representation for Visual Navigation
Situational Fusion of Visual Representation for Visual NavigationIEEE International Conference on Computer Vision (ICCV), 2019
Bokui (William) Shen
Danfei Xu
Yuke Zhu
Leonidas Guibas
Fei-Fei Li
Silvio Savarese
SSL
256
69
0
24 Aug 2019
Growing a Brain: Fine-Tuning by Increasing Model Capacity
Growing a Brain: Fine-Tuning by Increasing Model CapacityComputer Vision and Pattern Recognition (CVPR), 2017
Yu-Xiong Wang
Deva Ramanan
M. Hebert
CLL
195
161
0
18 Jul 2019
Pay Attention to Convolution Filters: Towards Fast and Accurate
  Fine-Grained Transfer Learning
Pay Attention to Convolution Filters: Towards Fast and Accurate Fine-Grained Transfer Learning
Xiangxi Mo
Ruizhe Cheng
Tianyi Fang
73
3
0
12 Jun 2019
Efficient Object Embedding for Spliced Image Retrieval
Efficient Object Embedding for Spliced Image Retrieval
Bor-Chun Chen
Zuxuan Wu
L. Davis
Ser-Nam Lim
165
8
0
28 May 2019
Overlearning Reveals Sensitive Attributes
Overlearning Reveals Sensitive AttributesInternational Conference on Learning Representations (ICLR), 2019
Congzheng Song
Vitaly Shmatikov
308
173
0
28 May 2019
An Investigation of Transfer Learning-Based Sentiment Analysis in
  Japanese
An Investigation of Transfer Learning-Based Sentiment Analysis in JapaneseAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Enkhbold Bataa
Joshua Wu
166
34
0
23 May 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
Ship classification from overhead imagery using synthetic data and
  domain adaptation
Ship classification from overhead imagery using synthetic data and domain adaptation
C. Ward
Josh Harguess
Cameron Hilton
100
44
0
10 May 2019
Large-scale weakly-supervised pre-training for video action recognition
Large-scale weakly-supervised pre-training for video action recognitionComputer Vision and Pattern Recognition (CVPR), 2019
Deepti Ghadiyaram
Matt Feiszli
Du Tran
Xueting Yan
Heng Wang
D. Mahajan
188
313
0
02 May 2019
A critical analysis of self-supervision, or what we can learn from a
  single image
A critical analysis of self-supervision, or what we can learn from a single imageInternational Conference on Learning Representations (ICLR), 2019
Yuki M. Asano
Christian Rupprecht
Andrea Vedaldi
SSL
342
151
0
30 Apr 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
Sequential modeling of Sessions using Recurrent Neural Networks for Skip
  Prediction
Sequential modeling of Sessions using Recurrent Neural Networks for Skip Prediction
Sainath Adapa
70
3
0
23 Apr 2019
Incremental multi-domain learning with network latent tensor
  factorization
Incremental multi-domain learning with network latent tensor factorization
Adrian Bulat
Jean Kossaifi
Georgios Tzimiropoulos
Maja Pantic
CLL
206
35
0
12 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
178
41
0
11 Apr 2019
ThisIsCompetition at SemEval-2019 Task 9: BERT is unstable for
  out-of-domain samples
ThisIsCompetition at SemEval-2019 Task 9: BERT is unstable for out-of-domain samples
Cheoneum Park
Juae Kim
Hyeon-gu Lee
Reinald Kim Amplayo
H. Kim
Jungyun Seo
Changki Lee
119
12
0
06 Apr 2019
Learning Implicit Generative Models by Matching Perceptual Features
Learning Implicit Generative Models by Matching Perceptual Features
Cicero Nogueira dos Santos
Youssef Mroueh
Inkit Padhi
Pierre Dognin
GAN
166
30
0
04 Apr 2019
Enhanced Transfer Learning with ImageNet Trained Classification Layer
Enhanced Transfer Learning with ImageNet Trained Classification Layer
Tasfia Shermin
S. Teng
Manzur Murshed
Guojun Lu
Ferdous Sohel
Manoranjan Paul
121
1
0
25 Mar 2019
Overcoming Small Minirhizotron Datasets Using Transfer Learning
Overcoming Small Minirhizotron Datasets Using Transfer LearningComputers and Electronics in Agriculture (Comput. Electron. Agric.), 2019
Weihuang Xu
Guohao Yu
A. Zare
B. Zurweller
D. Rowland
J. Reyes‐Cabrera
F. Fritschi
R. Matamala
T. Juenger
176
39
0
22 Mar 2019
Transfusion: Understanding Transfer Learning for Medical Imaging
Transfusion: Understanding Transfer Learning for Medical ImagingNeural Information Processing Systems (NeurIPS), 2019
M. Raghu
Chiyuan Zhang
Jon M. Kleinberg
Samy Bengio
MedIm
501
1,119
0
14 Feb 2019
Parameter-Efficient Transfer Learning for NLP
Parameter-Efficient Transfer Learning for NLPInternational Conference on Machine Learning (ICML), 2019
N. Houlsby
A. Giurgiu
Stanislaw Jastrzebski
Bruna Morrone
Quentin de Laroussilhe
Andrea Gesmundo
Mona Attariyan
Sylvain Gelly
631
5,641
0
02 Feb 2019
Using Pre-Training Can Improve Model Robustness and Uncertainty
Using Pre-Training Can Improve Model Robustness and Uncertainty
Dan Hendrycks
Kimin Lee
Mantas Mazeika
NoLa
547
788
0
28 Jan 2019
DELTA: DEep Learning Transfer using Feature Map with Attention for
  Convolutional Networks
DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks
Xingjian Li
Haoyi Xiong
Hanchao Wang
Yuxuan Rao
Liping Liu
Zeyu Chen
Jun Huan
202
177
0
26 Jan 2019
Fast and Accurate Person Re-Identification with RMNet
Fast and Accurate Person Re-Identification with RMNet
Evgeny Izutov
3DH
143
7
0
06 Dec 2018
Transfer Learning Using Classification Layer Features of CNN
Transfer Learning Using Classification Layer Features of CNN
Tasfia Shermin
Manzur Murshed
Guojun Lu
S. Teng
156
6
0
19 Nov 2018
Focusing on the Big Picture: Insights into a Systems Approach to Deep
  Learning for Satellite Imagery
Focusing on the Big Picture: Insights into a Systems Approach to Deep Learning for Satellite Imagery
Ritwik Gupta
Carson D. Sestili
J. Vazquez-Trejo
Matthew E. Gaston
VLM
98
2
0
12 Nov 2018
NestDNN: Resource-Aware Multi-Tenant On-Device Deep Learning for
  Continuous Mobile Vision
NestDNN: Resource-Aware Multi-Tenant On-Device Deep Learning for Continuous Mobile Vision
Biyi Fang
Xiao Zeng
Mi Zhang
3DH
166
283
0
23 Oct 2018
CEREALS - Cost-Effective REgion-based Active Learning for Semantic
  Segmentation
CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation
Radek Mackowiak
Philip Lenz
Omair Ghori
Ferran Diego
O. Lange
Carsten Rother
193
115
0
23 Oct 2018
Learning Finer-class Networks for Universal Representations
Learning Finer-class Networks for Universal Representations
Julien Girard-Satabin
Y. Tamaazousti
Hervé Le Borgne
C´eline Hudelot
SSLOOD
197
4
0
04 Oct 2018
Scattering Networks for Hybrid Representation Learning
Scattering Networks for Hybrid Representation Learning
Edouard Oyallon
Sergey Zagoruyko
Gabriel Huang
N. Komodakis
Damien Scieur
Matthew Blaschko
Eugene Belilovsky
167
92
0
17 Sep 2018
Zero-Shot Cross-lingual Classification Using Multilingual Neural Machine
  Translation
Zero-Shot Cross-lingual Classification Using Multilingual Neural Machine Translation
Akiko Eriguchi
Melvin Johnson
Orhan Firat
Hideto Kazawa
Wolfgang Macherey
144
64
0
12 Sep 2018
Improving Generalization via Scalable Neighborhood Component Analysis
Improving Generalization via Scalable Neighborhood Component Analysis
Zhirong Wu
Alexei A. Efros
Stella X. Yu
BDL
153
151
0
14 Aug 2018
Shared Multi-Task Imitation Learning for Indoor Self-Navigation
Shared Multi-Task Imitation Learning for Indoor Self-Navigation
Junhong Xu
Qiwei Liu
Hanqing Guo
Aaron Kageza
Saeed AlQarni
Shaoen Wu
125
13
0
14 Aug 2018
Fluid Annotation: A Human-Machine Collaboration Interface for Full Image
  Annotation
Fluid Annotation: A Human-Machine Collaboration Interface for Full Image Annotation
Mykhaylo Andriluka
J. Uijlings
V. Ferrari
VLM
305
82
0
20 Jun 2018
Transfer Learning with Human Corneal Tissues: An Analysis of Optimal
  Cut-Off Layer
Transfer Learning with Human Corneal Tissues: An Analysis of Optimal Cut-Off Layer
Nadezhda Prodanova
Johannes Stegmaier
S. Allgeier
S. Bohn
O. Stachs
B. Köhler
Ralf Mikut
A. Bartschat
OODMedIm
109
4
0
19 Jun 2018
Large Scale Fine-Grained Categorization and Domain-Specific Transfer
  Learning
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning
Huayu Chen
Yang Song
Chen Sun
Andrew G. Howard
Serge J. Belongie
231
514
0
16 Jun 2018
Do Better ImageNet Models Transfer Better?
Do Better ImageNet Models Transfer Better?
Simon Kornblith
Jonathon Shlens
Quoc V. Le
OODMLT
471
1,445
0
23 May 2018
The EuroCity Persons Dataset: A Novel Benchmark for Object Detection
The EuroCity Persons Dataset: A Novel Benchmark for Object Detection
Markus Braun
Sebastian Krebs
F. Flohr
D. Gavrila
ObjD
229
246
0
18 May 2018
Exploring the Limits of Weakly Supervised Pretraining
Exploring the Limits of Weakly Supervised Pretraining
D. Mahajan
Ross B. Girshick
Vignesh Ramanathan
Kaiming He
Manohar Paluri
Shouqing Yang
Ashwin R. Bharambe
Laurens van der Maaten
VLM
468
1,432
0
02 May 2018
Boosting Self-Supervised Learning via Knowledge Transfer
Boosting Self-Supervised Learning via Knowledge Transfer
M. Noroozi
Ananth Vinjimoor
Paolo Favaro
Hamed Pirsiavash
SSL
462
313
0
01 May 2018
Class Subset Selection for Transfer Learning using Submodularity
Class Subset Selection for Transfer Learning using Submodularity
Varun Manjunatha
Srikumar Ramalingam
Tim K. Marks
L. Davis
156
6
0
30 Mar 2018
Hierarchical Transfer Convolutional Neural Networks for Image
  Classification
Hierarchical Transfer Convolutional Neural Networks for Image Classification
Xishuang Dong
Hsiang-Huang Wu
Yuzhong Yan
Lijun Qian
146
5
0
30 Mar 2018
Universal Language Model Fine-tuning for Text Classification
Universal Language Model Fine-tuning for Text Classification
Jeremy Howard
Sebastian Ruder
VLM
319
282
0
18 Jan 2018
Learning More Universal Representations for Transfer-Learning
Learning More Universal Representations for Transfer-LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017
Y. Tamaazousti
Hervé Le Borgne
C´eline Hudelot
Abdalgader Abubaker
M. Tamaazousti
OODSSL
204
60
0
27 Dec 2017
Material Classification using Neural Networks
Material Classification using Neural Networks
Anca Sticlaru
51
4
0
17 Oct 2017
Neural Program Meta-Induction
Neural Program Meta-Induction
Jacob Devlin
Rudy Bunel
Rishabh Singh
Matthew J. Hausknecht
Pushmeet Kohli
178
73
0
11 Oct 2017
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