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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?"

15 / 315 papers shown
Title
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600
  Papers Survey
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600 Papers Survey
Hirokatsu Kataoka
Soma Shirakabe
Yun He
S. Ueta
Teppei Suzuki
...
Ryousuke Takasawa
Masataka Fuchida
Yudai Miyashita
Kazushige Okayasu
Yuta Matsuzaki
30
1
0
20 Jul 2017
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Chen Sun
Abhinav Shrivastava
Saurabh Singh
Abhinav Gupta
VLM
43
2,362
0
10 Jul 2017
On the Compactness, Efficiency, and Representation of 3D Convolutional
  Networks: Brain Parcellation as a Pretext Task
On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task
Wenqi Li
Guotai Wang
Lucas Fidon
Sebastien Ourselin
M. Jorge Cardoso
Tom Kamiel Magda Vercauteren
3DV
27
337
0
06 Jul 2017
Deep Mixture of Diverse Experts for Large-Scale Visual Recognition
Deep Mixture of Diverse Experts for Large-Scale Visual Recognition
Tianyi Zhao
Jun-chen Yu
Zhenzhong Kuang
Wei Zhang
Jianping Fan
MoE
32
13
0
24 Jun 2017
Few-Shot Image Recognition by Predicting Parameters from Activations
Few-Shot Image Recognition by Predicting Parameters from Activations
Siyuan Qiao
Chenxi Liu
Wei Shen
Alan Yuille
VLM
26
553
0
12 Jun 2017
Interspecies Knowledge Transfer for Facial Keypoint Detection
Interspecies Knowledge Transfer for Facial Keypoint Detection
M. Rashid
Xiuye Gu
Yong Jae Lee
CVBM
3DH
21
45
0
13 Apr 2017
Reading Wikipedia to Answer Open-Domain Questions
Reading Wikipedia to Answer Open-Domain Questions
Danqi Chen
Adam Fisch
Jason Weston
Antoine Bordes
RALM
28
1,988
0
31 Mar 2017
Scaling the Scattering Transform: Deep Hybrid Networks
Scaling the Scattering Transform: Deep Hybrid Networks
Edouard Oyallon
Eugene Belilovsky
Sergey Zagoruyko
20
157
0
27 Mar 2017
Combining Self-Supervised Learning and Imitation for Vision-Based Rope
  Manipulation
Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulation
Ashvin Nair
Dian Chen
Pulkit Agrawal
Phillip Isola
Pieter Abbeel
Jitendra Malik
Sergey Levine
SSL
10
305
0
06 Mar 2017
Addressing Appearance Change in Outdoor Robotics with Adversarial Domain
  Adaptation
Addressing Appearance Change in Outdoor Robotics with Adversarial Domain Adaptation
Markus Wulfmeier
Alex Bewley
Ingmar Posner
13
81
0
04 Mar 2017
Borrowing Treasures from the Wealthy: Deep Transfer Learning through
  Selective Joint Fine-tuning
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning
Weifeng Ge
Yizhou Yu
94
233
0
28 Feb 2017
Unsupervised Joint Mining of Deep Features and Image Labels for
  Large-scale Radiology Image Categorization and Scene Recognition
Unsupervised Joint Mining of Deep Features and Image Labels for Large-scale Radiology Image Categorization and Scene Recognition
Xiaosong Wang
Le Lu
Hoo-Chang Shin
Lauren Kim
M. Bagheri
Isabella Nogues
Jianhua Yao
Ronald M. Summers
13
40
0
23 Jan 2017
Human perception in computer vision
Human perception in computer vision
Ron Dekel
OOD
21
9
0
17 Jan 2017
Object Recognition with and without Objects
Object Recognition with and without Objects
Zhuotun Zhu
Lingxi Xie
Alan Yuille
OCL
ObjD
27
81
0
20 Nov 2016
Deep Fruit Detection in Orchards
Deep Fruit Detection in Orchards
Suchet Bargoti
J. Underwood
14
428
0
12 Oct 2016
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