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Caffe: Convolutional Architecture for Fast Feature Embedding

Caffe: Convolutional Architecture for Fast Feature Embedding

20 June 2014
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
    VLM
    BDL
    3DV
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Papers citing "Caffe: Convolutional Architecture for Fast Feature Embedding"

19 / 1,619 papers shown
Title
Long-term Recurrent Convolutional Networks for Visual Recognition and
  Description
Long-term Recurrent Convolutional Networks for Visual Recognition and Description
Jeff Donahue
Lisa Anne Hendricks
Marcus Rohrbach
Subhashini Venugopalan
S. Guadarrama
Kate Saenko
Trevor Darrell
VLM
94
6,032
0
17 Nov 2014
Convolutional Neural Network-based Place Recognition
Convolutional Neural Network-based Place Recognition
Zetao Chen
Obadiah Lam
A. Jacobson
Michael Milford
40
264
0
06 Nov 2014
Do Convnets Learn Correspondence?
Do Convnets Learn Correspondence?
Jonathan Long
Ning Zhang
Trevor Darrell
39
311
0
04 Nov 2014
Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on
  ImageNet
Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet
Matthias Kümmerer
Lucas Theis
Matthias Bethge
FAtt
27
407
0
04 Nov 2014
SimNets: A Generalization of Convolutional Networks
SimNets: A Generalization of Convolutional Networks
Nadav Cohen
Amnon Shashua
3DPC
40
23
0
03 Oct 2014
cuDNN: Efficient Primitives for Deep Learning
cuDNN: Efficient Primitives for Deep Learning
Sharan Chetlur
Cliff Woolley
Philippe Vandermersch
Jonathan M. Cohen
J. Tran
Bryan Catanzaro
Evan Shelhamer
63
1,843
0
03 Oct 2014
Unsupervised Domain Adaptation by Backpropagation
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
78
5,943
0
26 Sep 2014
Deformable Part Models are Convolutional Neural Networks
Deformable Part Models are Convolutional Neural Networks
Ross B. Girshick
F. Iandola
Trevor Darrell
Jitendra Malik
44
455
0
18 Sep 2014
Self-taught Object Localization with Deep Networks
Self-taught Object Localization with Deep Networks
Loris Bazzani
Alessandro Bergamo
Dragomir Anguelov
Lorenzo Torresani
SSL
ObjD
34
153
0
13 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
327
39,252
0
01 Sep 2014
Learning Rich Features from RGB-D Images for Object Detection and
  Segmentation
Learning Rich Features from RGB-D Images for Object Detection and Segmentation
Saurabh Gupta
Ross B. Girshick
Pablo Arbeláez
Jitendra Malik
ObjD
62
1,556
0
22 Jul 2014
LSDA: Large Scale Detection Through Adaptation
LSDA: Large Scale Detection Through Adaptation
Judy Hoffman
S. Guadarrama
Eric Tzeng
Ronghang Hu
Jeff Donahue
Ross B. Girshick
Trevor Darrell
Kate Saenko
ObjD
53
335
0
18 Jul 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
54
1,222
0
15 Jul 2014
Articulated Pose Estimation by a Graphical Model with Image Dependent
  Pairwise Relations
Articulated Pose Estimation by a Graphical Model with Image Dependent Pairwise Relations
Xianjie Chen
Alan Yuille
3DH
43
509
0
12 Jul 2014
Learning Deep Structured Models
Learning Deep Structured Models
Liang-Chieh Chen
Alex Schwing
Alan Yuille
R. Urtasun
BDL
60
247
0
09 Jul 2014
Simultaneous Detection and Segmentation
Simultaneous Detection and Segmentation
Bharath Hariharan
Pablo Arbeláez
Ross B. Girshick
Jitendra Malik
ObjD
ISeg
69
1,291
0
07 Jul 2014
Analyzing the Performance of Multilayer Neural Networks for Object
  Recognition
Analyzing the Performance of Multilayer Neural Networks for Object Recognition
Pulkit Agrawal
Ross B. Girshick
Jitendra Malik
SSL
66
441
0
07 Jul 2014
Factors of Transferability for a Generic ConvNet Representation
Factors of Transferability for a Generic ConvNet Representation
Hossein Azizpour
A. Razavian
Josephine Sullivan
A. Maki
S. Carlsson
33
421
0
22 Jun 2014
Two-Stream Convolutional Networks for Action Recognition in Videos
Two-Stream Convolutional Networks for Action Recognition in Videos
Karen Simonyan
Andrew Zisserman
169
7,497
0
09 Jun 2014
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