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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 / 8,428 papers shown
Title
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
1,004
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
39
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
28
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
39
1,339
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
3,067
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
216
11,503
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
803
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
454
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
11
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
3,523
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
10,188
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
Simple Does It: Weakly Supervised Instance and Semantic Segmentation
Simple Does It: Weakly Supervised Instance and Semantic Segmentation
Anna Khoreva
Rodrigo Benenson
J. Hosang
Matthias Hein
Bernt Schiele
WSOD
VLM
ISeg
50
743
0
24 Mar 2016
Deep Extreme Feature Extraction: New MVA Method for Searching Particles
  in High Energy Physics
Deep Extreme Feature Extraction: New MVA Method for Searching Particles in High Energy Physics
Chao Ma
Tianchenghou
Bin Lan
Jinhui Xu
Zhenhua Zhang
16
0
0
24 Mar 2016
Pixel-Level Domain Transfer
Pixel-Level Domain Transfer
Donggeun Yoo
Namil Kim
Sunggyun Park
Anthony S. Paek
In So Kweon
GAN
20
315
0
24 Mar 2016
Do We Really Need to Collect Millions of Faces for Effective Face
  Recognition?
Do We Really Need to Collect Millions of Faces for Effective Face Recognition?
I. Masi
A. Tran
J. Leksut
Tal Hassner
Gérard Medioni
CVBM
55
366
0
23 Mar 2016
Learning Representations for Automatic Colorization
Learning Representations for Automatic Colorization
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
VLM
SSL
34
1,012
0
22 Mar 2016
Segmentation from Natural Language Expressions
Segmentation from Natural Language Expressions
Ronghang Hu
Marcus Rohrbach
Trevor Darrell
VLM
EgoV
30
429
0
20 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
301
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
Generative Image Modeling using Style and Structure Adversarial Networks
Generative Image Modeling using Style and Structure Adversarial Networks
Xinyu Wang
Abhinav Gupta
GAN
48
618
0
17 Mar 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
165
10,138
0
16 Mar 2016
Revisiting Batch Normalization For Practical Domain Adaptation
Revisiting Batch Normalization For Practical Domain Adaptation
Yanghao Li
Naiyan Wang
Jianping Shi
Jiaying Liu
Xiaodi Hou
OOD
16
584
0
15 Mar 2016
Learning Typographic Style
Learning Typographic Style
S. Baluja
30
15
0
13 Mar 2016
Single Image Restoration for Participating Media Based on Prior Fusion
Single Image Restoration for Participating Media Based on Prior Fusion
J. O. Gaya
F. Moraes
Amanda C. Duarte
Paulo L. J. Drews-Jr
S. Botelho
17
9
0
06 Mar 2016
Network Morphism
Network Morphism
Tao Wei
Changhu Wang
Y. Rui
Chen Chen
24
176
0
05 Mar 2016
Learning Physical Intuition of Block Towers by Example
Learning Physical Intuition of Block Towers by Example
Adam Lerer
Sam Gross
Rob Fergus
PINN
33
298
0
03 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
MOT16: A Benchmark for Multi-Object Tracking
MOT16: A Benchmark for Multi-Object Tracking
Anton Milan
Laura Leal-Taixe
Ian Reid
Stefan Roth
Konrad Schindler
VOT
104
1,781
0
02 Mar 2016
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