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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
ArXivPDFHTML

Papers citing "Caffe: Convolutional Architecture for Fast Feature Embedding"

50 / 1,586 papers shown
Title
Good Practice in CNN Feature Transfer
Good Practice in CNN Feature Transfer
Liang Zheng
Yali Zhao
Shengjin Wang
Jingdong Wang
Q. Tian
38
160
0
01 Apr 2016
Modeling Visual Compatibility through Hierarchical Mid-level Elements
Modeling Visual Compatibility through Hierarchical Mid-level Elements
José Oramas
Tinne Tuytelaars
8
21
0
31 Mar 2016
Accurate Text Localization in Natural Image with Cascaded Convolutional
  Text Network
Accurate Text Localization in Natural Image with Cascaded Convolutional Text Network
Tong He
Weilin Huang
Yu Qiao
Jian Yao
26
81
0
31 Mar 2016
Unsupervised Visual Sense Disambiguation for Verbs using Multimodal
  Embeddings
Unsupervised Visual Sense Disambiguation for Verbs using Multimodal Embeddings
Spandana Gella
Mirella Lapata
Frank Keller
CoGe
27
52
0
30 Mar 2016
Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks
  with Symmetric Skip Connections
Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections
Xiao-Jiao Mao
Chunhua Shen
Yubin Yang
SupR
24
85
0
30 Mar 2016
Learning a Predictable and Generative Vector Representation for Objects
Learning a Predictable and Generative Vector Representation for Objects
Rohit Girdhar
David Fouhey
Mikel D. Rodriguez
Abhinav Gupta
3DV
37
708
0
29 Mar 2016
Shuffle and Learn: Unsupervised Learning using Temporal Order
  Verification
Shuffle and Learn: Unsupervised Learning using Temporal Order Verification
Ishan Misra
C. L. Zitnick
M. Hebert
SSL
28
66
0
28 Mar 2016
Generating Visual Explanations
Generating Visual Explanations
Lisa Anne Hendricks
Zeynep Akata
Marcus Rohrbach
Jeff Donahue
Bernt Schiele
Trevor Darrell
VLM
FAtt
47
618
0
28 Mar 2016
Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation
  with Deep Gaussian CRFs
Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs
Siddhartha Chandra
Iasonas Kokkinos
27
187
0
28 Mar 2016
Audio Visual Emotion Recognition with Temporal Alignment and Perception
  Attention
Audio Visual Emotion Recognition with Temporal Alignment and Perception Attention
Linlin Chao
J. Tao
Minghao Yang
Ya Li
Zhengqi Wen
24
30
0
28 Mar 2016
Human Pose Estimation using Deep Consensus Voting
Human Pose Estimation using Deep Consensus Voting
Ita Lifshitz
Ethan Fetaya
S. Ullman
3DH
28
158
0
27 Mar 2016
Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization
  Using a Large Scale Radiology Image Database
Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database
Xiaosong Wang
Le Lu
Hoo-Chang Shin
Lauren Kim
Isabella Nogues
Jianhua Yao
Ronald M. Summers
22
16
0
25 Mar 2016
Attentive Contexts for Object Detection
Attentive Contexts for Object Detection
Jianan Li
Yunchao Wei
Xiaodan Liang
Jian Dong
Tingfa Xu
Jiashi Feng
Shuicheng Yan
ObjD
17
221
0
24 Mar 2016
A guide to convolution arithmetic for deep learning
A guide to convolution arithmetic for deep learning
Vincent Dumoulin
Francesco Visin
FAtt
3DH
HAI
16
1,534
0
23 Mar 2016
Global-Local Face Upsampling Network
Global-Local Face Upsampling Network
Oncel Tuzel
Yuichi Taguchi
J. Hershey
CVBM
SupR
18
35
0
23 Mar 2016
Weakly-Supervised Semantic Segmentation using Motion Cues
Weakly-Supervised Semantic Segmentation using Motion Cues
P. Tokmakov
Alahari Karteek
Cordelia Schmid
27
56
0
23 Mar 2016
BreakingNews: Article Annotation by Image and Text Processing
BreakingNews: Article Annotation by Image and Text Processing
Arnau Ramisa
F. Yan
Francesc Moreno-Noguer
K. Mikolajczyk
29
105
0
23 Mar 2016
Semantic Object Parsing with Graph LSTM
Semantic Object Parsing with Graph LSTM
Xiaodan Liang
Xiaohui Shen
Jiashi Feng
Liang Lin
Shuicheng Yan
38
354
0
23 Mar 2016
A Richly Annotated Dataset for Pedestrian Attribute Recognition
A Richly Annotated Dataset for Pedestrian Attribute Recognition
Dangwei Li
Zheng Zhang
Xiaotang Chen
Haibin Ling
Kaiqi Huang
22
178
0
23 Mar 2016
Learning Representations for Automatic Colorization
Learning Representations for Automatic Colorization
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
VLM
SSL
34
1,011
0
22 Mar 2016
Deep video gesture recognition using illumination invariants
Deep video gesture recognition using illumination invariants
O. Gupta
D. Raviv
Ramesh Raskar
28
12
0
21 Mar 2016
Controlling Explanatory Heatmap Resolution and Semantics via
  Decomposition Depth
Controlling Explanatory Heatmap Resolution and Semantics via Decomposition Depth
Sebastian Bach
Alexander Binder
K. Müller
Wojciech Samek
FAtt
26
24
0
21 Mar 2016
Deep Learning in Bioinformatics
Deep Learning in Bioinformatics
Seonwoo Min
Byunghan Lee
Sungroh Yoon
AI4CE
3DV
36
1,352
0
21 Mar 2016
Towards Automatic Wild Animal Monitoring: Identification of Animal
  Species in Camera-trap Images using Very Deep Convolutional Neural Networks
Towards Automatic Wild Animal Monitoring: Identification of Animal Species in Camera-trap Images using Very Deep Convolutional Neural Networks
Alex Gomez-Villa
Augusto Salazar
J. Vargas-Bonilla
26
300
0
20 Mar 2016
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image
  Segmentation
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation
Alexander Kolesnikov
Christoph H. Lampert
SSeg
24
742
0
19 Mar 2016
Accelerating Deep Neural Network Training with Inconsistent Stochastic
  Gradient Descent
Accelerating Deep Neural Network Training with Inconsistent Stochastic Gradient Descent
Linnan Wang
Yi Yang
Martin Renqiang Min
S. Chakradhar
21
91
0
17 Mar 2016
Deep Fully-Connected Networks for Video Compressive Sensing
Deep Fully-Connected Networks for Video Compressive Sensing
Michael Iliadis
L. Spinoulas
Aggelos K. Katsaggelos
15
194
0
16 Mar 2016
Object Contour Detection with a Fully Convolutional Encoder-Decoder
  Network
Object Contour Detection with a Fully Convolutional Encoder-Decoder Network
Jimei Yang
Brian L. Price
Scott D. Cohen
Honglak Lee
Ming-Hsuan Yang
ObjD
24
365
0
15 Mar 2016
Optical Flow with Semantic Segmentation and Localized Layers
Optical Flow with Semantic Segmentation and Localized Layers
Laura Sevilla-Lara
Deqing Sun
Varun Jampani
Michael J. Black
24
186
0
12 Mar 2016
Distributed TensorFlow with MPI
Distributed TensorFlow with MPI
Abhinav Vishnu
Charles Siegel
J. Daily
19
40
0
07 Mar 2016
Deep Contrast Learning for Salient Object Detection
Deep Contrast Learning for Salient Object Detection
Guanbin Li
Yizhou Yu
34
728
0
07 Mar 2016
Network Morphism
Network Morphism
Tao Wei
Changhu Wang
Y. Rui
Chen Chen
21
176
0
05 Mar 2016
High precision grasp pose detection in dense clutter
High precision grasp pose detection in dense clutter
Marcus Gualtieri
A. T. Pas
Kate Saenko
Robert Platt
3DPC
21
303
0
04 Mar 2016
Decision Forests, Convolutional Networks and the Models in-Between
Decision Forests, Convolutional Networks and the Models in-Between
Yani Andrew Ioannou
D. Robertson
Darko Zikic
Peter Kontschieder
Jamie Shotton
Matthew Brown
A. Criminisi
26
88
0
03 Mar 2016
HyperFace: A Deep Multi-task Learning Framework for Face Detection,
  Landmark Localization, Pose Estimation, and Gender Recognition
HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition
Rajeev Ranjan
Vishal M. Patel
Rama Chellappa
CVBM
3DH
58
1,220
0
03 Mar 2016
Convolutional Neural Networks using Logarithmic Data Representation
Convolutional Neural Networks using Logarithmic Data Representation
Daisuke Miyashita
Edward H. Lee
B. Murmann
MQ
30
425
0
03 Mar 2016
Shallow and Deep Convolutional Networks for Saliency Prediction
Shallow and Deep Convolutional Networks for Saliency Prediction
Junting Pan
Kevin McGuinness
E. Sayrol
Noel E. O'Connor
Xavier Giró-i-Nieto
FAtt
38
467
0
02 Mar 2016
PLATO: Policy Learning using Adaptive Trajectory Optimization
PLATO: Policy Learning using Adaptive Trajectory Optimization
G. Kahn
Tianhao Zhang
Sergey Levine
Pieter Abbeel
32
136
0
02 Mar 2016
Synthesized Classifiers for Zero-Shot Learning
Synthesized Classifiers for Zero-Shot Learning
Soravit Changpinyo
Wei-Lun Chao
Boqing Gong
Fei Sha
71
734
0
02 Mar 2016
Weakly Supervised Localization using Deep Feature Maps
Weakly Supervised Localization using Deep Feature Maps
Archith J. Bency
H. Kwon
Hyungtae Lee
S. Karthikeyan
B. S. Manjunath
WSOL
30
73
0
01 Mar 2016
Convolutional Patch Representations for Image Retrieval: an Unsupervised
  Approach
Convolutional Patch Representations for Image Retrieval: an Unsupervised Approach
Mattis Paulin
Julien Mairal
Matthijs Douze
Zaïd Harchaoui
Florent Perronnin
Cordelia Schmid
SSL
28
65
0
01 Mar 2016
Cascaded Subpatch Networks for Effective CNNs
Cascaded Subpatch Networks for Effective CNNs
Xiaoheng Jiang
Yanwei Pang
Manli Sun
Xuelong Li
34
39
0
01 Mar 2016
Evaluation of Deep Learning based Pose Estimation for Sign Language
  Recognition
Evaluation of Deep Learning based Pose Estimation for Sign Language Recognition
Srujana Gattupalli
Amir Ghaderi
V. Athitsos
18
49
0
29 Feb 2016
DeepSpark: A Spark-Based Distributed Deep Learning Framework for
  Commodity Clusters
DeepSpark: A Spark-Based Distributed Deep Learning Framework for Commodity Clusters
Hanjoo Kim
Jaehong Park
Jaehee Jang
Sungroh Yoon
BDL
32
37
0
26 Feb 2016
Improving patch-based scene text script identification with ensembles of
  conjoined networks
Improving patch-based scene text script identification with ensembles of conjoined networks
L. G. I. Bigorda
Anguelos Nicolaou
Dimosthenis Karatzas
4
75
0
24 Feb 2016
Exploring the Neural Algorithm of Artistic Style
Exploring the Neural Algorithm of Artistic Style
Yaroslav Nikulin
Roman Novak
GAN
30
39
0
23 Feb 2016
Correlation Hashing Network for Efficient Cross-Modal Retrieval
Correlation Hashing Network for Efficient Cross-Modal Retrieval
Yue Cao
Mingsheng Long
Jianmin Wang
Philip S. Yu
21
59
0
22 Feb 2016
On the Use of Deep Learning for Blind Image Quality Assessment
On the Use of Deep Learning for Blind Image Quality Assessment
Simone Bianco
Luigi Celona
Paolo Napoletano
Raimondo Schettini
VLM
33
336
0
17 Feb 2016
Unsupervised Domain Adaptation with Residual Transfer Networks
Unsupervised Domain Adaptation with Residual Transfer Networks
Mingsheng Long
Hanjing Zhu
Jianmin Wang
Michael I. Jordan
OOD
45
1,480
0
14 Feb 2016
Deep Learning on FPGAs: Past, Present, and Future
Deep Learning on FPGAs: Past, Present, and Future
Griffin Lacey
Graham W. Taylor
S. Areibi
GNN
29
180
0
13 Feb 2016
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