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ImageNet Large Scale Visual Recognition Challenge

ImageNet Large Scale Visual Recognition Challenge

1 September 2014
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
Sean Ma
Zhiheng Huang
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
    VLM
    ObjD
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Papers citing "ImageNet Large Scale Visual Recognition Challenge"

50 / 8,085 papers shown
Title
FPNN: Field Probing Neural Networks for 3D Data
FPNN: Field Probing Neural Networks for 3D Data
Yangyan Li
Soren Pirk
Hao Su
C. Qi
Leonidas J. Guibas
3DPC
32
287
0
20 May 2016
Re-ranking Object Proposals for Object Detection in Automatic Driving
Re-ranking Object Proposals for Object Detection in Automatic Driving
Zhun Zhong
Mingyi Lei
Shaozi Li
Jianping Fan
21
5
0
19 May 2016
Learning Deep Representations of Fine-grained Visual Descriptions
Learning Deep Representations of Fine-grained Visual Descriptions
Scott E. Reed
Zeynep Akata
Bernt Schiele
Honglak Lee
OCL
VLM
176
840
0
17 May 2016
Going Deeper into Action Recognition: A Survey
Going Deeper into Action Recognition: A Survey
Samitha Herath
Mehrtash Harandi
Fatih Porikli
36
610
0
16 May 2016
Automatic Image Annotation via Label Transfer in the Semantic Space
Automatic Image Annotation via Label Transfer in the Semantic Space
Tiberio Uricchio
Lamberto Ballan
Lorenzo Seidenari
A. Bimbo
VLM
36
82
0
16 May 2016
Movie Description
Movie Description
Anna Rohrbach
Atousa Torabi
Marcus Rohrbach
Niket Tandon
C. Pal
Hugo Larochelle
Aaron Courville
Bernt Schiele
3DV
VGen
32
354
0
12 May 2016
ASP Vision: Optically Computing the First Layer of Convolutional Neural
  Networks using Angle Sensitive Pixels
ASP Vision: Optically Computing the First Layer of Convolutional Neural Networks using Angle Sensitive Pixels
H. G. Chen
Suren Jayasuriya
Jiyue Yang
J. Stephen
S. Sivaramakrishnan
Ashok Veeraraghavan
A. Molnar
26
66
0
11 May 2016
Structured Receptive Fields in CNNs
Structured Receptive Fields in CNNs
J. Jacobsen
Jan van Gemert
Zhongyu Lou
A. Smeulders
16
107
0
10 May 2016
Look-ahead before you leap: end-to-end active recognition by forecasting
  the effect of motion
Look-ahead before you leap: end-to-end active recognition by forecasting the effect of motion
Dinesh Jayaraman
Kristen Grauman
17
91
0
30 Apr 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
41
250
0
30 Apr 2016
Artistic style transfer for videos
Artistic style transfer for videos
Manuel Ruder
Alexey Dosovitskiy
Thomas Brox
21
193
0
28 Apr 2016
Are Face and Object Recognition Independent? A Neurocomputational
  Modeling Exploration
Are Face and Object Recognition Independent? A Neurocomputational Modeling Exploration
Panqu Wang
I. Gauthier
G. Cottrell
OOD
CVBM
14
20
0
26 Apr 2016
Stochastic Variance-Reduced ADMM
Stochastic Variance-Reduced ADMM
Shuai Zheng
James T. Kwok
44
59
0
24 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
Articulated Hand Pose Estimation Review
Articulated Hand Pose Estimation Review
Emad Barsoum
21
21
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
Scene Parsing with Integration of Parametric and Non-parametric Models
Scene Parsing with Integration of Parametric and Non-parametric Models
Bing Shuai
Zhen Zuo
G. Wang
Bernie Wang
22
18
0
20 Apr 2016
Right whale recognition using convolutional neural networks
Right whale recognition using convolutional neural networks
Andrei Polzounov
Ilmira Terpugova
Deividas Skiparis
A. Mihai
26
12
0
19 Apr 2016
Deep Saliency with Encoded Low level Distance Map and High Level
  Features
Deep Saliency with Encoded Low level Distance Map and High Level Features
Gayoung Lee
Yu-Wing Tai
Junmo Kim
FAtt
35
444
0
19 Apr 2016
ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic
  Segmentation
ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation
Di Lin
Jifeng Dai
Jiaya Jia
Kaiming He
Jian Sun
SSeg
83
1,003
0
18 Apr 2016
Pixel-level Encoding and Depth Layering for Instance-level Semantic
  Labeling
Pixel-level Encoding and Depth Layering for Instance-level Semantic Labeling
J. Uhrig
Marius Cordts
Uwe Franke
Thomas Brox
SSeg
27
174
0
18 Apr 2016
Learning Models for Actions and Person-Object Interactions with Transfer
  to Question Answering
Learning Models for Actions and Person-Object Interactions with Transfer to Question Answering
Arun Mallya
Svetlana Lazebnik
39
119
0
16 Apr 2016
Subcategory-aware Convolutional Neural Networks for Object Proposals and
  Detection
Subcategory-aware Convolutional Neural Networks for Object Proposals and Detection
Yu Xiang
Wongun Choi
Yuanqing Lin
Silvio Savarese
ObjD
28
281
0
16 Apr 2016
High-performance Semantic Segmentation Using Very Deep Fully
  Convolutional Networks
High-performance Semantic Segmentation Using Very Deep Fully Convolutional Networks
Zifeng Wu
Chunhua Shen
Anton Van Den Hengel
SSeg
34
130
0
15 Apr 2016
Towards Automated Melanoma Screening: Proper Computer Vision & Reliable
  Results
Towards Automated Melanoma Screening: Proper Computer Vision & Reliable Results
Michel Fornaciali
Micael Carvalho
F. Bittencourt
Sandra Avila
Eduardo Valle
21
30
0
14 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
724
0
14 Apr 2016
Online Multi-Target Tracking Using Recurrent Neural Networks
Online Multi-Target Tracking Using Recurrent Neural Networks
Anton Milan
S. Hamid Rezatofighi
A. Dick
Ian Reid
Konrad Schindler
VOT
42
515
0
13 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
Video Description using Bidirectional Recurrent Neural Networks
Video Description using Bidirectional Recurrent Neural Networks
Álvaro Peris
Marc Bolaños
Petia Radeva
F. Casacuberta
20
33
0
12 Apr 2016
Using Deep Learning for Image-Based Plant Disease Detection
Using Deep Learning for Image-Based Plant Disease Detection
Sharada Mohanty
David P. Hughes
M. Salathé
15
3,065
0
11 Apr 2016
TGIF: A New Dataset and Benchmark on Animated GIF Description
TGIF: A New Dataset and Benchmark on Animated GIF Description
Yuncheng Li
Yale Song
Liangliang Cao
Joel R. Tetreault
Larry Goldberg
A. Jaimes
Jiebo Luo
25
270
0
10 Apr 2016
Scene-driven Retrieval in Edited Videos using Aesthetic and Semantic
  Deep Features
Scene-driven Retrieval in Edited Videos using Aesthetic and Semantic Deep Features
Lorenzo Baraldi
C. Grana
Rita Cucchiara
14
9
0
09 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
Joint Detection and Identification Feature Learning for Person Search
Joint Detection and Identification Feature Learning for Person Search
Tong Xiao
Shuang Li
Bochao Wang
Liang Lin
Xiaogang Wang
52
820
0
07 Apr 2016
Learning to Track at 100 FPS with Deep Regression Networks
Learning to Track at 100 FPS with Deep Regression Networks
David Held
Sebastian Thrun
Silvio Savarese
OffRL
42
1,190
0
06 Apr 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
169
11,493
0
06 Apr 2016
Training Constrained Deconvolutional Networks for Road Scene Semantic
  Segmentation
Training Constrained Deconvolutional Networks for Road Scene Semantic Segmentation
G. Ros
Simon Stent
P. Alcantarilla
Tomoki Watanabe
21
55
0
06 Apr 2016
Deep Cross Residual Learning for Multitask Visual Recognition
Deep Cross Residual Learning for Multitask Visual Recognition
Brendan Jou
Shih-Fu Chang
ObjD
29
91
0
05 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
Layer-wise Relevance Propagation for Neural Networks with Local
  Renormalization Layers
Layer-wise Relevance Propagation for Neural Networks with Local Renormalization Layers
Alexander Binder
G. Montavon
Sebastian Lapuschkin
K. Müller
Wojciech Samek
FAtt
31
453
0
04 Apr 2016
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
Rich Image Captioning in the Wild
Rich Image Captioning in the Wild
Kenneth Tran
Xiaodong He
Lei Zhang
Jian Sun
Cornelia Carapcea
Chris Thrasher
Chris Buehler
Chris Sienkiewicz
VLM
19
123
0
30 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
Colorful Image Colorization
Colorful Image Colorization
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
80
3,521
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
Recurrent Mixture Density Network for Spatiotemporal Visual Attention
Recurrent Mixture Density Network for Spatiotemporal Visual Attention
Loris Bazzani
Hugo Larochelle
Lorenzo Torresani
26
133
0
27 Mar 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
138
10,184
0
27 Mar 2016
How useful is photo-realistic rendering for visual learning?
How useful is photo-realistic rendering for visual learning?
Yair Movshovitz-Attias
T. Kanade
Yaser Sheikh
3DH
3DV
30
151
0
26 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
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