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Factors of Transferability for a Generic ConvNet Representation

Factors of Transferability for a Generic ConvNet Representation

22 June 2014
Hossein Azizpour
A. Razavian
Josephine Sullivan
A. Maki
S. Carlsson
ArXivPDFHTML

Papers citing "Factors of Transferability for a Generic ConvNet Representation"

50 / 114 papers shown
Title
Remote Detection of Idling Cars Using Infrared Imaging and Deep Networks
Remote Detection of Idling Cars Using Infrared Imaging and Deep Networks
M. Bastan
Kim-Hui Yap
Lap-Pui Chau
46
6
0
28 Apr 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
31
6
0
30 Mar 2018
Binary Constrained Deep Hashing Network for Image Retrieval without
  Manual Annotation
Binary Constrained Deep Hashing Network for Image Retrieval without Manual Annotation
Thanh-Toan Do
Tuan Hoang
Dang-Khoa Le Tan
Trung T. Pham
Huu Le
Ngai-man Cheung
Ian Reid
MQ
16
9
0
21 Feb 2018
From Selective Deep Convolutional Features to Compact Binary
  Representations for Image Retrieval
From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval
Thanh-Toan Do
Tuan Hoang
Dang-Khoa Le Tan
Huu Le
Tam V. Nguyen
Ngai-man Cheung
29
31
0
07 Feb 2018
Fine-tuning CNN Image Retrieval with No Human Annotation
Fine-tuning CNN Image Retrieval with No Human Annotation
Filip Radenovic
Giorgos Tolias
Ondřej Chum
36
1,288
0
03 Nov 2017
Region-Based Image Retrieval Revisited
Region-Based Image Retrieval Revisited
Ryota Hinami
Yusuke Matsui
Shiníchi Satoh
11
22
0
26 Sep 2017
Unsupervised object discovery for instance recognition
Unsupervised object discovery for instance recognition
Oriane Siméoni
Ahmet Iscen
Giorgos Tolias
Yannis Avrithis
Ondřej Chum
10
5
0
14 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
Fine-grained Visual-textual Representation Learning
Fine-grained Visual-textual Representation Learning
Xiangteng He
Yuxin Peng
25
55
0
31 Aug 2017
What matters in a transferable neural network model for relation
  classification in the biomedical domain?
What matters in a transferable neural network model for relation classification in the biomedical domain?
Sunil Kumar Sahu
Ashish Anand
20
9
0
11 Aug 2017
Selective Deep Convolutional Features for Image Retrieval
Selective Deep Convolutional Features for Image Retrieval
Tuan Hoang
Thanh-Toan Do
Dang-Khoa Le Tan
Ngai-man Cheung
37
64
0
04 Jul 2017
Convolutional Neural Networks for Medical Image Analysis: Full Training
  or Fine Tuning?
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
Nima Tajbakhsh
Jae Y. Shin
S. Gurudu
R. T. Hurst
Christopher B. Kendall
Michael B. Gotway
Jianming Liang
77
2,498
0
02 Jun 2017
Abnormality Detection and Localization in Chest X-Rays using Deep
  Convolutional Neural Networks
Abnormality Detection and Localization in Chest X-Rays using Deep Convolutional Neural Networks
M. Islam
Md Abdul Aowal
A. T. Minhaz
Khalid Ashraf
41
188
0
27 May 2017
Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for
  Unsupervised Domain Adaptation
Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation
Hongliang Yan
Yukang Ding
P. Li
Qilong Wang
Yong-mei Xu
W. Zuo
17
570
0
01 May 2017
Determinantal Point Processes for Mini-Batch Diversification
Determinantal Point Processes for Mini-Batch Diversification
Cheng Zhang
Hedvig Kjellström
Stephan Mandt
27
35
0
01 May 2017
Paying Attention to Descriptions Generated by Image Captioning Models
Paying Attention to Descriptions Generated by Image Captioning Models
Hamed R. Tavakoli
Rakshith Shetty
Ali Borji
Jorma T. Laaksonen
29
79
0
24 Apr 2017
Object-Part Attention Model for Fine-grained Image Classification
Object-Part Attention Model for Fine-grained Image Classification
Yuxin Peng
Xiangteng He
Junjie Zhao
OCL
VLM
52
338
0
06 Apr 2017
Simultaneous Feature Aggregating and Hashing for Large-scale Image
  Search
Simultaneous Feature Aggregating and Hashing for Large-scale Image Search
Thanh-Toan Do
Dang-Khoa Le Tan
Trung T. Pham
Ngai-man Cheung
16
36
0
04 Apr 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
Designing Deep Convolutional Neural Networks for Continuous Object
  Orientation Estimation
Designing Deep Convolutional Neural Networks for Continuous Object Orientation Estimation
Kota Hara
Raviteja Vemulapalli
Rama Chellappa
14
82
0
06 Feb 2017
Relative Camera Pose Estimation Using Convolutional Neural Networks
Relative Camera Pose Estimation Using Convolutional Neural Networks
Iaroslav Melekhov
Juha Ylioinas
Arno Solin
Esa Rahtu
62
197
0
05 Feb 2017
Compression of Deep Neural Networks for Image Instance Retrieval
Compression of Deep Neural Networks for Image Instance Retrieval
V. Chandrasekhar
Jie Lin
Q. Liao
Olivier Morère
D. Shapiro
Lingyu Duan
Tomaso Poggio
22
25
0
18 Jan 2017
Exploring the Design Space of Deep Convolutional Neural Networks at
  Large Scale
Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale
F. Iandola
3DV
26
18
0
20 Dec 2016
Multi-source Transfer Learning with Convolutional Neural Networks for
  Lung Pattern Analysis
Multi-source Transfer Learning with Convolutional Neural Networks for Lung Pattern Analysis
Stergios Christodoulidis
M. Anthimopoulos
L. Ebner
Andreas Christe
Stavroula Mougiakakou
16
133
0
08 Dec 2016
ImageNet pre-trained models with batch normalization
ImageNet pre-trained models with batch normalization
Marcel Simon
E. Rodner
Joachim Denzler
VLM
SSeg
44
165
0
05 Dec 2016
ResFeats: Residual Network Based Features for Image Classification
ResFeats: Residual Network Based Features for Image Classification
A. Mahmood
Bennamoun
Senjian An
Ferdous Sohel
VLM
SSeg
34
59
0
21 Nov 2016
LCNN: Lookup-based Convolutional Neural Network
LCNN: Lookup-based Convolutional Neural Network
Hessam Bagherinezhad
Mohammad Rastegari
Ali Farhadi
13
89
0
20 Nov 2016
On the Exploration of Convolutional Fusion Networks for Visual
  Recognition
On the Exploration of Convolutional Fusion Networks for Visual Recognition
Y. Liu
Yanming Guo
M. Lew
33
23
0
16 Nov 2016
Efficient Diffusion on Region Manifolds: Recovering Small Objects with
  Compact CNN Representations
Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations
Ahmet Iscen
Giorgos Tolias
Yannis Avrithis
Teddy Furon
Ondřej Chum
DiffM
16
179
0
16 Nov 2016
What Is the Best Practice for CNNs Applied to Visual Instance Retrieval?
What Is the Best Practice for CNNs Applied to Visual Instance Retrieval?
Jiedong Hao
Jing Dong
Wei Wang
Tieniu Tan
35
10
0
05 Nov 2016
A Framework for Searching for General Artificial Intelligence
A Framework for Searching for General Artificial Intelligence
Marek Rosa
Jan Feyereisl
The GoodAI Collective
AI4CE
46
19
0
02 Nov 2016
Transferring Object-Scene Convolutional Neural Networks for Event
  Recognition in Still Images
Transferring Object-Scene Convolutional Neural Networks for Event Recognition in Still Images
Limin Wang
Zhe Wang
Yu Qiao
Luc Van Gool
26
6
0
01 Sep 2016
What makes ImageNet good for transfer learning?
What makes ImageNet good for transfer learning?
Minyoung Huh
Pulkit Agrawal
Alexei A. Efros
OOD
SSeg
VLM
SSL
62
671
0
30 Aug 2016
Multi-View Product Image Search Using Deep ConvNets Representations
Multi-View Product Image Search Using Deep ConvNets Representations
M. Bastan
Ozgur Yilmaz
17
2
0
11 Aug 2016
Low-shot Visual Recognition by Shrinking and Hallucinating Features
Low-shot Visual Recognition by Shrinking and Hallucinating Features
Bharath Hariharan
Ross B. Girshick
VLM
30
49
0
09 Jun 2016
Learning Deep Feature Representations with Domain Guided Dropout for
  Person Re-identification
Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification
Tong Xiao
Hongsheng Li
Wanli Ouyang
Xiaogang Wang
OOD
34
977
0
26 Apr 2016
Joint Semantic Segmentation and Depth Estimation with Deep Convolutional
  Networks
Joint Semantic Segmentation and Depth Estimation with Deep Convolutional Networks
Arsalan Mousavian
Hamed Pirsiavash
Jana Kosecka
SSeg
31
151
0
25 Apr 2016
CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard
  Examples
CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples
Filip Radenovic
Giorgos Tolias
Ondřej Chum
SSL
22
599
0
08 Apr 2016
Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval
Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval
Olivier Morère
Jie Lin
A. Veillard
V. Chandrasekhar
Tomaso Poggio
22
16
0
15 Mar 2016
PlaNet - Photo Geolocation with Convolutional Neural Networks
PlaNet - Photo Geolocation with Convolutional Neural Networks
Tobias Weyand
Ilya Kostrikov
James Philbin
14
410
0
17 Feb 2016
Face Attribute Prediction Using Off-the-Shelf CNN Features
Face Attribute Prediction Using Off-the-Shelf CNN Features
Yang Zhong
Josephine Sullivan
Haibo Li
CVBM
32
102
0
12 Feb 2016
Leveraging Mid-Level Deep Representations For Predicting Face Attributes
  in the Wild
Leveraging Mid-Level Deep Representations For Predicting Face Attributes in the Wild
Yang Zhong
Josephine Sullivan
Haibo Li
3DH
CVBM
22
43
0
04 Feb 2016
Compositional Model based Fisher Vector Coding for Image Classification
Compositional Model based Fisher Vector Coding for Image Classification
Lingqiao Liu
Peng Wang
Chunhua Shen
Lei Wang
Anton Van Den Hengel
Chao Wang
Heng Tao Shen
43
53
0
16 Jan 2016
Cross-dimensional Weighting for Aggregated Deep Convolutional Features
Cross-dimensional Weighting for Aggregated Deep Convolutional Features
Yannis Kalantidis
Clayton Mellina
Simon Osindero
FAtt
12
433
0
13 Dec 2015
Particular object retrieval with integral max-pooling of CNN activations
Particular object retrieval with integral max-pooling of CNN activations
Giorgos Tolias
R. Sicre
Hervé Jégou
36
967
0
18 Nov 2015
FireCaffe: near-linear acceleration of deep neural network training on
  compute clusters
FireCaffe: near-linear acceleration of deep neural network training on compute clusters
F. Iandola
Khalid Ashraf
Matthew W. Moskewicz
Kurt Keutzer
30
302
0
31 Oct 2015
Aggregating Deep Convolutional Features for Image Retrieval
Aggregating Deep Convolutional Features for Image Retrieval
Artem Babenko
Victor Lempitsky
FAtt
31
690
0
26 Oct 2015
Cross-convolutional-layer Pooling for Image Recognition
Cross-convolutional-layer Pooling for Image Recognition
Lingqiao Liu
Chunhua Shen
Anton Van Den Hengel
38
81
0
04 Oct 2015
Multimodal Deep Learning for Robust RGB-D Object Recognition
Multimodal Deep Learning for Robust RGB-D Object Recognition
Andreas Eitel
Jost Tobias Springenberg
Luciano Spinello
Martin Riedmiller
Wolfram Burgard
33
645
0
24 Jul 2015
Cross Modal Distillation for Supervision Transfer
Cross Modal Distillation for Supervision Transfer
Saurabh Gupta
Judy Hoffman
Jitendra Malik
56
534
0
02 Jul 2015
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