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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"

31 / 1,581 papers shown
Title
Detector Discovery in the Wild: Joint Multiple Instance and
  Representation Learning
Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning
Judy Hoffman
Deepak Pathak
Trevor Darrell
Kate Saenko
26
77
0
02 Dec 2014
DeepEdge: A Multi-Scale Bifurcated Deep Network for Top-Down Contour
  Detection
DeepEdge: A Multi-Scale Bifurcated Deep Network for Top-Down Contour Detection
Gedas Bertasius
Jianbo Shi
Lorenzo Torresani
22
467
0
02 Dec 2014
Feedforward semantic segmentation with zoom-out features
Feedforward semantic segmentation with zoom-out features
Mohammadreza Mostajabi
Payman Yadollahpour
Gregory Shakhnarovich
MDE
SSeg
31
474
0
02 Dec 2014
Learning Spatiotemporal Features with 3D Convolutional Networks
Learning Spatiotemporal Features with 3D Convolutional Networks
Du Tran
Lubomir D. Bourdev
Rob Fergus
Lorenzo Torresani
Manohar Paluri
3DPC
36
410
0
02 Dec 2014
Material Recognition in the Wild with the Materials in Context Database
Material Recognition in the Wild with the Materials in Context Database
Sean Bell
P. Upchurch
Noah Snavely
Kavita Bala
46
519
0
01 Dec 2014
The Treasure beneath Convolutional Layers: Cross-convolutional-layer
  Pooling for Image Classification
The Treasure beneath Convolutional Layers: Cross-convolutional-layer Pooling for Image Classification
Lingqiao Liu
Chunhua Shen
Anton Van Den Hengel
32
191
0
27 Nov 2014
3D-Assisted Image Feature Synthesis for Novel Views of an Object
3D-Assisted Image Feature Synthesis for Novel Views of an Object
Hao Su
F. Wang
L. Yi
Leonidas J. Guibas
DiffM
29
29
0
26 Nov 2014
Persistent Evidence of Local Image Properties in Generic ConvNets
Persistent Evidence of Local Image Properties in Generic ConvNets
A. Razavian
Hossein Azizpour
A. Maki
Josephine Sullivan
Carl Henrik Ek
S. Carlsson
SSL
29
6
0
24 Nov 2014
Mid-level Deep Pattern Mining
Mid-level Deep Pattern Mining
Yao Li
Lingqiao Liu
Chunhua Shen
Anton Van Den Hengel
29
100
0
24 Nov 2014
Viewpoints and Keypoints
Viewpoints and Keypoints
Shubham Tulsiani
Jitendra Malik
29
398
0
22 Nov 2014
Learning a Recurrent Visual Representation for Image Caption Generation
Learning a Recurrent Visual Representation for Image Caption Generation
Xinlei Chen
C. L. Zitnick
SSL
GAN
32
195
0
20 Nov 2014
Maximum Likelihood Directed Enumeration Method in Piecewise-Regular
  Object Recognition
Maximum Likelihood Directed Enumeration Method in Piecewise-Regular Object Recognition
Andrey V. Savchenko
22
28
0
20 Nov 2014
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
32
264
0
06 Nov 2014
Do Convnets Learn Correspondence?
Do Convnets Learn Correspondence?
Jonathan Long
Ning Zhang
Trevor Darrell
28
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
43
1,843
0
03 Oct 2014
Unsupervised Domain Adaptation by Backpropagation
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
63
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
41
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
313
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
60
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
39
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
28
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
26
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
34
1,290
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
52
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
24
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
79
7,497
0
09 Jun 2014
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