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CNN Features off-the-shelf: an Astounding Baseline for Recognition

CNN Features off-the-shelf: an Astounding Baseline for Recognition

23 March 2014
A. Razavian
Hossein Azizpour
Josephine Sullivan
S. Carlsson
ArXivPDFHTML

Papers citing "CNN Features off-the-shelf: an Astounding Baseline for Recognition"

50 / 469 papers shown
Title
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
Leveraging Structural Context Models and Ranking Score Fusion for Human
  Interaction Prediction
Leveraging Structural Context Models and Ranking Score Fusion for Human Interaction Prediction
Qiuhong Ke
Bennamoun
Senjian An
F. Boussaïd
Ferdous Sohel
22
38
0
18 Aug 2016
Detecting Dominant Vanishing Points in Natural Scenes with Application
  to Composition-Sensitive Image Retrieval
Detecting Dominant Vanishing Points in Natural Scenes with Application to Composition-Sensitive Image Retrieval
Zihan Zhou
F. Farhat
Jianmin Wang
13
46
0
15 Aug 2016
Aggregating Binary Local Descriptors for Image Retrieval
Aggregating Binary Local Descriptors for Image Retrieval
Giuseppe Amato
Fabrizio Falchi
Lucia Vadicamo
23
10
0
02 Aug 2016
Introspective Perception: Learning to Predict Failures in Vision Systems
Introspective Perception: Learning to Predict Failures in Vision Systems
S. Daftry
S. Zeng
J. Andrew Bagnell
M. Hebert
10
80
0
28 Jul 2016
Local Feature Detectors, Descriptors, and Image Representations: A
  Survey
Local Feature Detectors, Descriptors, and Image Representations: A Survey
Yusuke Uchida
32
13
0
28 Jul 2016
Salient Object Subitizing
Salient Object Subitizing
Jianming Zhang
Shugao Ma
M. Sameki
Stan Sclaroff
Margrit Betke
Zhe-nan Lin
Xiaohui Shen
Brian L. Price
R. Měch
23
115
0
26 Jul 2016
Learning without Forgetting
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLL
OOD
SSL
90
4,310
0
29 Jun 2016
Optimization Methods for Large-Scale Machine Learning
Optimization Methods for Large-Scale Machine Learning
Léon Bottou
Frank E. Curtis
J. Nocedal
78
3,172
0
15 Jun 2016
IDNet: Smartphone-based Gait Recognition with Convolutional Neural
  Networks
IDNet: Smartphone-based Gait Recognition with Convolutional Neural Networks
M. Gadaleta
M. Rossi
6
219
0
10 Jun 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
25
49
0
09 Jun 2016
Fully Convolutional Networks for Dense Semantic Labelling of
  High-Resolution Aerial Imagery
Fully Convolutional Networks for Dense Semantic Labelling of High-Resolution Aerial Imagery
Jamie Sherrah
SSeg
13
361
0
08 Jun 2016
Boda-RTC: Productive Generation of Portable, Efficient Code for
  Convolutional Neural Networks on Mobile Computing Platforms
Boda-RTC: Productive Generation of Portable, Efficient Code for Convolutional Neural Networks on Mobile Computing Platforms
Matthew W. Moskewicz
F. Iandola
Kurt Keutzer
9
8
0
01 Jun 2016
Asynchrony begets Momentum, with an Application to Deep Learning
Asynchrony begets Momentum, with an Application to Deep Learning
Jeff Donahue
Philipp Krahenbuhl
Stefan Hadjis
Christopher Ré
55
141
0
31 May 2016
Generalized Multi-view Embedding for Visual Recognition and Cross-modal
  Retrieval
Generalized Multi-view Embedding for Visual Recognition and Cross-modal Retrieval
G. Cao
Alexandros Iosifidis
Ke Chen
Moncef Gabbouj
30
89
0
31 May 2016
SNN: Stacked Neural Networks
SNN: Stacked Neural Networks
Milad Mohammadi
Subhasis Das
13
15
0
27 May 2016
Embedding based on function approximation for large scale image search
Embedding based on function approximation for large scale image search
Thanh-Toan Do
Ngai-man Cheung
22
40
0
23 May 2016
Deep Neural Networks Under Stress
Deep Neural Networks Under Stress
Micael Carvalho
Matthieu Cord
Sandra Avila
Nicolas Thome
Eduardo Valle
28
14
0
11 May 2016
Structured Receptive Fields in CNNs
Structured Receptive Fields in CNNs
J. Jacobsen
Jan van Gemert
Zhongyu Lou
A. Smeulders
11
107
0
10 May 2016
DisturbLabel: Regularizing CNN on the Loss Layer
DisturbLabel: Regularizing CNN on the Loss Layer
Lingxi Xie
Jingdong Wang
Zhen Wei
Meng Wang
Qi Tian
39
249
0
30 Apr 2016
InterActive: Inter-Layer Activeness Propagation
InterActive: Inter-Layer Activeness Propagation
Lingxi Xie
Liang Zheng
Jingdong Wang
Alan Yuille
Qi Tian
FAtt
33
45
0
30 Apr 2016
Word2VisualVec: Image and Video to Sentence Matching by Visual Feature
  Prediction
Word2VisualVec: Image and Video to Sentence Matching by Visual Feature Prediction
Jianfeng Dong
Xirong Li
Cees G. M. Snoek
3DV
24
35
0
23 Apr 2016
Novelty Detection in MultiClass Scenarios with Incomplete Set of Class
  Labels
Novelty Detection in MultiClass Scenarios with Incomplete Set of Class Labels
N. Vinokurov
D. Weinshall
16
4
0
21 Apr 2016
Automatic Graphic Logo Detection via Fast Region-based Convolutional
  Networks
Automatic Graphic Logo Detection via Fast Region-based Convolutional Networks
Gonçalo Oliveira
Xavier Frazão
A. Pimentel
B. Ribeiro
35
44
0
20 Apr 2016
Selective Convolutional Descriptor Aggregation for Fine-Grained Image
  Retrieval
Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval
Xiu-Shen Wei
Jian-Hao Luo
Jianxin Wu
Zhi-Hua Zhou
22
406
0
18 Apr 2016
Bags of Local Convolutional Features for Scalable Instance Search
Bags of Local Convolutional Features for Scalable Instance Search
Eva Mohedano
Amaia Salvador
Kevin McGuinness
F. Marqués
Noel E. O'Connor
Xavier Giró-i-Nieto
26
162
0
15 Apr 2016
Learning Temporal Regularity in Video Sequences
Learning Temporal Regularity in Video Sequences
Mahmudul Hasan
Jonghyun Choi
J. Neumann
A. Roy-Chowdhury
L. Davis
50
1,089
0
15 Apr 2016
CNN-RNN: A Unified Framework for Multi-label Image Classification
CNN-RNN: A Unified Framework for Multi-label Image Classification
Jiang Wang
Yi Yang
Junhua Mao
Zhiheng Huang
Chang Huang
Wenyuan Xu
SSL
34
1,162
0
15 Apr 2016
Understanding How Image Quality Affects Deep Neural Networks
Understanding How Image Quality Affects Deep Neural Networks
Samuel F. Dodge
Lina Karam
VLM
26
723
0
14 Apr 2016
Cross-stitch Networks for Multi-task Learning
Cross-stitch Networks for Multi-task Learning
Ishan Misra
Abhinav Shrivastava
Abhinav Gupta
M. Hebert
37
1,337
0
12 Apr 2016
From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment
  Prediction
From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction
Victor Campos
Brendan Jou
Xavier Giró-i-Nieto
19
187
0
12 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
Deep Image Retrieval: Learning global representations for image search
Deep Image Retrieval: Learning global representations for image search
Albert Gordo
Jon Almazán
Jérôme Revaud
Diane Larlus
23
802
0
05 Apr 2016
Good Practice in CNN Feature Transfer
Good Practice in CNN Feature Transfer
Liang Zheng
Yali Zhao
Shengjin Wang
Jingdong Wang
Q. Tian
30
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
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
Pixel-Level Domain Transfer
Pixel-Level Domain Transfer
Donggeun Yoo
Namil Kim
Sunggyun Park
Anthony S. Paek
In So Kweon
GAN
14
315
0
24 Mar 2016
A Richly Annotated Dataset for Pedestrian Attribute Recognition
A Richly Annotated Dataset for Pedestrian Attribute Recognition
Dangwei Li
Z. Zhang
Xiaotang Chen
Haibin Ling
Kaiqi Huang
14
178
0
23 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
299
0
20 Mar 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
14
16
0
15 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
20
65
0
01 Mar 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
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
14
43
0
04 Feb 2016
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
Suraj Srinivas
Ravi Kiran Sarvadevabhatla
Konda Reddy Mopuri
N. Prabhu
S. Kruthiventi
R. Venkatesh Babu
OOD
35
215
0
25 Jan 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
The Lovász Hinge: A Novel Convex Surrogate for Submodular Losses
The Lovász Hinge: A Novel Convex Surrogate for Submodular Losses
Jiaqian Yu
Matthew Blaschko
22
38
0
24 Dec 2015
Memory-based control with recurrent neural networks
Memory-based control with recurrent neural networks
N. Heess
Jonathan J. Hunt
Timothy Lillicrap
David Silver
18
301
0
14 Dec 2015
NetVLAD: CNN architecture for weakly supervised place recognition
NetVLAD: CNN architecture for weakly supervised place recognition
Relja Arandjelović
Petr Gronát
Akihiko Torii
Tomas Pajdla
Josef Sivic
3DV
SSL
82
2,609
0
23 Nov 2015
Images Don't Lie: Transferring Deep Visual Semantic Features to
  Large-Scale Multimodal Learning to Rank
Images Don't Lie: Transferring Deep Visual Semantic Features to Large-Scale Multimodal Learning to Rank
Corey Lynch
Kamelia Aryafar
Josh Attenberg
21
45
0
20 Nov 2015
Semantic Diversity versus Visual Diversity in Visual Dictionaries
Semantic Diversity versus Visual Diversity in Visual Dictionaries
O. A. B. Penatti
Sandra Avila
Eduardo Valle
Ricardo da S. Torres
9
0
0
20 Nov 2015
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