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Subset Feature Learning for Fine-Grained Category Classification

Subset Feature Learning for Fine-Grained Category Classification

9 May 2015
Zongyuan Ge
Chris McCool
Conrad Sanderson
Peter Corke
ArXiv (abs)PDFHTML

Papers citing "Subset Feature Learning for Fine-Grained Category Classification"

11 / 11 papers shown
Title
Modelling Local Deep Convolutional Neural Network Features to Improve
  Fine-Grained Image Classification
Modelling Local Deep Convolutional Neural Network Features to Improve Fine-Grained Image Classification
Zongyuan Ge
Chris McCool
Conrad Sanderson
Peter Corke
75
49
0
27 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
341
18,651
0
06 Feb 2015
How transferable are features in deep neural networks?
How transferable are features in deep neural networks?
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
234
8,348
0
06 Nov 2014
Part-based R-CNNs for Fine-grained Category Detection
Part-based R-CNNs for Fine-grained Category Detection
Ning Zhang
Jeff Donahue
Ross B. Girshick
Trevor Darrell
ObjD
125
1,224
0
15 Jul 2014
Simultaneous Detection and Segmentation
Simultaneous Detection and Segmentation
Bharath Hariharan
Pablo Arbeláez
Ross B. Girshick
Jitendra Malik
ObjDISeg
142
1,295
0
07 Jul 2014
Caffe: Convolutional Architecture for Fast Feature Embedding
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLMBDL3DV
280
14,712
0
20 Jun 2014
Bird Species Categorization Using Pose Normalized Deep Convolutional
  Nets
Bird Species Categorization Using Pose Normalized Deep Convolutional Nets
Steve Branson
Grant Van Horn
Serge J. Belongie
Pietro Perona
95
512
0
11 Jun 2014
CNN Features off-the-shelf: an Astounding Baseline for Recognition
CNN Features off-the-shelf: an Astounding Baseline for Recognition
A. Razavian
Hossein Azizpour
Josephine Sullivan
S. Carlsson
159
4,945
0
23 Mar 2014
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAttSSL
595
15,904
0
12 Nov 2013
Rich feature hierarchies for accurate object detection and semantic
  segmentation
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
291
26,217
0
11 Nov 2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual
  Recognition
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Jeff Donahue
Yangqing Jia
Oriol Vinyals
Judy Hoffman
Ning Zhang
Eric Tzeng
Trevor Darrell
VLMObjD
191
4,950
0
06 Oct 2013
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