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What makes ImageNet good for transfer learning?

What makes ImageNet good for transfer learning?

30 August 2016
Minyoung Huh
Pulkit Agrawal
Alexei A. Efros
    OOD
    SSeg
    VLM
    SSL
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Papers citing "What makes ImageNet good for transfer learning?"

50 / 315 papers shown
Title
Situational Fusion of Visual Representation for Visual Navigation
Situational Fusion of Visual Representation for Visual Navigation
Bokui (William) Shen
Danfei Xu
Yuke Zhu
Leonidas J. Guibas
Fei-Fei Li
Silvio Savarese
SSL
27
62
0
24 Aug 2019
Growing a Brain: Fine-Tuning by Increasing Model Capacity
Growing a Brain: Fine-Tuning by Increasing Model Capacity
Yu-xiong Wang
Deva Ramanan
M. Hebert
CLL
24
148
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
21
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
32
8
0
28 May 2019
Overlearning Reveals Sensitive Attributes
Overlearning Reveals Sensitive Attributes
Congzheng Song
Vitaly Shmatikov
11
148
0
28 May 2019
An Investigation of Transfer Learning-Based Sentiment Analysis in
  Japanese
An Investigation of Transfer Learning-Based Sentiment Analysis in Japanese
Enkhbold Bataa
Joshua Wu
13
33
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A Comprehensive Study of ImageNet Pre-Training for Historical Document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A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis
Linda Studer
Michele Alberti
Vinaychandran Pondenkandath
Pinar Goktepe
Thomas Kolonko
Andreas Fischer
Marcus Liwicki
Rolf Ingold
VLM
25
52
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
9
40
0
10 May 2019
Large-scale weakly-supervised pre-training for video action recognition
Large-scale weakly-supervised pre-training for video action recognition
Deepti Ghadiyaram
Matt Feiszli
Du Tran
Xueting Yan
Heng Wang
D. Mahajan
8
297
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 image
Yuki M. Asano
Christian Rupprecht
Andrea Vedaldi
SSL
27
145
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
17
56
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
17
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
M. Pantic
CLL
19
34
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
17
39
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
11
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 L. Dognin
GAN
31
28
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
14
1
0
25 Mar 2019
Overcoming Small Minirhizotron Datasets Using Transfer Learning
Overcoming Small Minirhizotron Datasets Using Transfer Learning
Weihuang Xu
Guohao Yu
A. Zare
B. Zurweller
D. Rowland
J. Reyes‐Cabrera
F. Fritschi
R. Matamala
T. Juenger
27
37
0
22 Mar 2019
Transfusion: Understanding Transfer Learning for Medical Imaging
Transfusion: Understanding Transfer Learning for Medical Imaging
M. Raghu
Chiyuan Zhang
Jon M. Kleinberg
Samy Bengio
MedIm
28
972
0
14 Feb 2019
Parameter-Efficient Transfer Learning for NLP
Parameter-Efficient Transfer Learning for NLP
N. Houlsby
A. Giurgiu
Stanislaw Jastrzebski
Bruna Morrone
Quentin de Laroussilhe
Andrea Gesmundo
Mona Attariyan
Sylvain Gelly
65
4,250
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
31
719
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
13
171
0
26 Jan 2019
Fast and Accurate Person Re-Identification with RMNet
Fast and Accurate Person Re-Identification with RMNet
Evgeny Izutov
3DH
32
6
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
14
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
15
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
25
263
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
37
108
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
SSL
OOD
34
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
Simon Lacoste-Julien
Matthew Blaschko
Eugene Belilovsky
21
84
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
20
62
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
22
143
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
19
11
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
24
81
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
OOD
MedIm
17
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
25
475
0
16 Jun 2018
Do Better ImageNet Models Transfer Better?
Do Better ImageNet Models Transfer Better?
Simon Kornblith
Jonathon Shlens
Quoc V. Le
OOD
MLT
91
1,309
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
24
226
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
Yixuan Li
Ashwin R. Bharambe
L. V. D. van der Maaten
VLM
86
1,356
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
212
292
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
13
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
36
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
21
274
0
18 Jan 2018
Learning More Universal Representations for Transfer-Learning
Learning More Universal Representations for Transfer-Learning
Y. Tamaazousti
Hervé Le Borgne
C´eline Hudelot
M. Seddik
M. Tamaazousti
OOD
SSL
19
57
0
27 Dec 2017
Material Classification using Neural Networks
Material Classification using Neural Networks
Anca Sticlaru
11
4
0
17 Oct 2017
Neural Program Meta-Induction
Neural Program Meta-Induction
Jacob Devlin
Rudy Bunel
Rishabh Singh
Matthew J. Hausknecht
Pushmeet Kohli
25
72
0
11 Oct 2017
Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance
  Grasping and Cross-Domain Image Matching
Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching
Andy Zeng
Shuran Song
Kuan-Ting Yu
E. Donlon
F. Hogan
...
Druck Green
Ian H. Taylor
Weber Liu
Thomas Funkhouser
Alberto Rodriguez
18
629
0
03 Oct 2017
One-Shot Learning for Semantic Segmentation
One-Shot Learning for Semantic Segmentation
Amirreza Shaban
Shray Bansal
Ziqiang Liu
Irfan Essa
Byron Boots
SSeg
VLM
16
692
0
11 Sep 2017
The Devil is in the Tails: Fine-grained Classification in the Wild
The Devil is in the Tails: Fine-grained Classification in the Wild
Grant Van Horn
Pietro Perona
VLM
34
205
0
05 Sep 2017
What Actions are Needed for Understanding Human Actions in Videos?
What Actions are Needed for Understanding Human Actions in Videos?
Gunnar A. Sigurdsson
Olga Russakovsky
Abhinav Gupta
14
133
0
09 Aug 2017
Analysis and Optimization of Convolutional Neural Network Architectures
Analysis and Optimization of Convolutional Neural Network Architectures
Martin Thoma
22
72
0
31 Jul 2017
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