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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 / 8,071 papers shown
Title
Hardness-Aware Deep Metric Learning
Hardness-Aware Deep Metric Learning
Wenzhao Zheng
Zhaodong Chen
Jiwen Lu
Jie Zhou
23
171
0
13 Mar 2019
Visual Semantic Information Pursuit: A Survey
Visual Semantic Information Pursuit: A Survey
Daqi Liu
M. Bober
J. Kittler
15
31
0
13 Mar 2019
All You Need is a Few Shifts: Designing Efficient Convolutional Neural
  Networks for Image Classification
All You Need is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification
Weijie Chen
Di Xie
Yuan Zhang
Shiliang Pu
30
80
0
13 Mar 2019
Open-Set Recognition Using Intra-Class Splitting
Open-Set Recognition Using Intra-Class Splitting
Patrick Schlachter
Yiwen Liao
Bin Yang
BDL
MQ
VLM
25
32
0
12 Mar 2019
GOGGLES: Automatic Image Labeling with Affinity Coding
GOGGLES: Automatic Image Labeling with Affinity Coding
Nilaksh Das
Sanya Chaba
Renzhi Wu
Sakshi Gandhi
Duen Horng Chau
Xu Chu
VLM
27
33
0
11 Mar 2019
Learning to Paint With Model-based Deep Reinforcement Learning
Learning to Paint With Model-based Deep Reinforcement Learning
Zhewei Huang
Wen Heng
Shuchang Zhou
GAN
24
36
0
11 Mar 2019
Image Privacy Prediction Using Deep Neural Networks
Image Privacy Prediction Using Deep Neural Networks
Ashwini Tonge
Cornelia Caragea
21
52
0
08 Mar 2019
Knowledge-Embedded Routing Network for Scene Graph Generation
Knowledge-Embedded Routing Network for Scene Graph Generation
Tianshui Chen
Weihao Yu
Riquan Chen
Liang Lin
GNN
49
372
0
08 Mar 2019
Deep CNN-based Multi-task Learning for Open-Set Recognition
Deep CNN-based Multi-task Learning for Open-Set Recognition
Poojan Oza
Vishal M. Patel
24
35
0
07 Mar 2019
A Learnable ScatterNet: Locally Invariant Convolutional Layers
A Learnable ScatterNet: Locally Invariant Convolutional Layers
Fergal Cotter
N. Kingsbury
23
22
0
07 Mar 2019
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few
  Examples
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples
Eleni Triantafillou
Tyler Lixuan Zhu
Vincent Dumoulin
Pascal Lamblin
Utku Evci
...
Ross Goroshin
Carles Gelada
Kevin Swersky
Pierre-Antoine Manzagol
Hugo Larochelle
56
613
0
07 Mar 2019
Weakly Supervised Complementary Parts Models for Fine-Grained Image
  Classification from the Bottom Up
Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up
Weifeng Ge
Xiangru Lin
Yizhou Yu
42
255
0
07 Mar 2019
Mean-field Analysis of Batch Normalization
Mean-field Analysis of Batch Normalization
Ming-Bo Wei
J. Stokes
D. Schwab
MLT
33
8
0
06 Mar 2019
Defining Image Memorability using the Visual Memory Schema
Defining Image Memorability using the Visual Memory Schema
Erdem Akagündüz
A. Bors
K. Evans
17
28
0
05 Mar 2019
TableBank: A Benchmark Dataset for Table Detection and Recognition
TableBank: A Benchmark Dataset for Table Detection and Recognition
Minghao Li
Lei Cui
Shaohan Huang
Furu Wei
M. Zhou
Zhoujun Li
LMTD
30
170
0
05 Mar 2019
How to Prove Your Model Belongs to You: A Blind-Watermark based
  Framework to Protect Intellectual Property of DNN
How to Prove Your Model Belongs to You: A Blind-Watermark based Framework to Protect Intellectual Property of DNN
Zheng Li
Chengyu Hu
Yang Zhang
Shanqing Guo
AAML
16
170
0
05 Mar 2019
Collaborative Spatio-temporal Feature Learning for Video Action
  Recognition
Collaborative Spatio-temporal Feature Learning for Video Action Recognition
Chong Li
Qiaoyong Zhong
Di Xie
Shiliang Pu
27
82
0
04 Mar 2019
Complement Objective Training
Complement Objective Training
Hao-Yun Chen
Pei-Hsin Wang
Chun-Hao Liu
Shih-Chieh Chang
Jia Pan
Yutian Chen
Wei Wei
Da-Cheng Juan
AAML
25
46
0
04 Mar 2019
A Behavioral Approach to Visual Navigation with Graph Localization
  Networks
A Behavioral Approach to Visual Navigation with Graph Localization Networks
Kevin Chen
Juan Pablo de Vicente
G. Sepulveda
Fei Xia
Á. Soto
Marynel Vázquez
Silvio Savarese
GNN
20
100
0
01 Mar 2019
Learning To Follow Directions in Street View
Learning To Follow Directions in Street View
Karl Moritz Hermann
Mateusz Malinowski
Piotr Wojciech Mirowski
Andras Banki-Horvath
Keith Anderson
R. Hadsell
SSL
32
66
0
01 Mar 2019
Deep Neural Network and Data Augmentation Methodology for off-axis iris
  segmentation in wearable headsets
Deep Neural Network and Data Augmentation Methodology for off-axis iris segmentation in wearable headsets
Viktor Varkarakis
S. Bazrafkan
Peter Corcoran
CVBM
24
42
0
01 Mar 2019
A Deep DUAL-PATH Network for Improved Mammogram Image Processing
A Deep DUAL-PATH Network for Improved Mammogram Image Processing
Heyi Li
Dongdong Chen
W. Nailon
Mike E. Davies
Dave Laurenson
AI4CE
19
21
0
01 Mar 2019
Lung CT Imaging Sign Classification through Deep Learning on Small Data
Lung CT Imaging Sign Classification through Deep Learning on Small Data
Guocai He
27
7
0
01 Mar 2019
From Visual to Acoustic Question Answering
From Visual to Acoustic Question Answering
Jerome Abdelnour
G. Salvi
Jean Rouat
27
3
0
28 Feb 2019
Biometric Presentation Attack Detection: Beyond the Visible Spectrum
Biometric Presentation Attack Detection: Beyond the Visible Spectrum
Ruben Tolosana
M. Gomez-Barrero
Christoph Busch
J. Ortega-Garcia
AAML
27
75
0
28 Feb 2019
What you get is not always what you see: pitfalls in solar array
  assessment using overhead imagery
What you get is not always what you see: pitfalls in solar array assessment using overhead imagery
Wei Hu
Kyle Bradbury
Jordan M. Malof
Boning Li
Bohao Huang
Artem Streltsov
K. Fujita
B. Hoen
25
16
0
28 Feb 2019
Robust Re-identification of Manta Rays from Natural Markings by Learning
  Pose Invariant Embeddings
Robust Re-identification of Manta Rays from Natural Markings by Learning Pose Invariant Embeddings
Olga Moskvyak
Frederic Maire
A. Armstrong
Feras Dayoub
Mahsa Baktash
22
37
0
28 Feb 2019
Dynamic Deep Multi-modal Fusion for Image Privacy Prediction
Dynamic Deep Multi-modal Fusion for Image Privacy Prediction
Ashwini Tonge
Cornelia Caragea
19
32
0
27 Feb 2019
StyleRemix: An Interpretable Representation for Neural Image Style
  Transfer
StyleRemix: An Interpretable Representation for Neural Image Style Transfer
Hongmin Xu
Qiang Li
Wenbo Zhang
Wen Zheng
42
5
0
27 Feb 2019
Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding
  for Video Captioning
Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning
Nayyer Aafaq
Naveed Akhtar
Wen Liu
Syed Zulqarnain Gilani
Ajmal Mian
36
204
0
27 Feb 2019
FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer
  Learning
FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer Learning
P. Whatmough
Chuteng Zhou
Patrick Hansen
S. Venkataramanaiah
Jae-sun Seo
Matthew Mattina
20
57
0
27 Feb 2019
Unmasking Clever Hans Predictors and Assessing What Machines Really
  Learn
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn
Sebastian Lapuschkin
S. Wäldchen
Alexander Binder
G. Montavon
Wojciech Samek
K. Müller
17
1,000
0
26 Feb 2019
IF-TTN: Information Fused Temporal Transformation Network for Video
  Action Recognition
IF-TTN: Information Fused Temporal Transformation Network for Video Action Recognition
Ke Yang
Peng Qiao
Dongsheng Li
Y. Dou
ViT
35
8
0
26 Feb 2019
Diagnosis of Alzheimer's Disease via Multi-modality 3D Convolutional
  Neural Network
Diagnosis of Alzheimer's Disease via Multi-modality 3D Convolutional Neural Network
Yechong Huang
Jiahang Xu
Lihao Liu
Tong Tong
Xiahai Zhuang
the Alzheimer's Disease Neuroimaging Initiative
MedIm
19
211
0
26 Feb 2019
Deep High-Resolution Representation Learning for Human Pose Estimation
Deep High-Resolution Representation Learning for Human Pose Estimation
Ke Sun
Bin Xiao
Dong Liu
Jingdong Wang
3DV
43
4,007
0
25 Feb 2019
Towards Corner Case Detection for Autonomous Driving
Towards Corner Case Detection for Autonomous Driving
Jan-Aike Termöhlen
Andreas Bär
Daniel Lipinski
Tim Fingscheidt
AAML
27
95
0
25 Feb 2019
Quantifying Perceptual Distortion of Adversarial Examples
Quantifying Perceptual Distortion of Adversarial Examples
Matt Jordan
N. Manoj
Surbhi Goel
A. Dimakis
19
39
0
21 Feb 2019
Deep Discriminative Representation Learning with Attention Map for Scene
  Classification
Deep Discriminative Representation Learning with Attention Map for Scene Classification
Jun Yu Li
Daoyu Lin
Yang Wang
Guangluan Xu
C. Ding
36
81
0
21 Feb 2019
Error bounds for approximations with deep ReLU neural networks in
  $W^{s,p}$ norms
Error bounds for approximations with deep ReLU neural networks in Ws,pW^{s,p}Ws,p norms
Ingo Gühring
Gitta Kutyniok
P. Petersen
28
199
0
21 Feb 2019
Deep Multi-modal Object Detection and Semantic Segmentation for
  Autonomous Driving: Datasets, Methods, and Challenges
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
Di Feng
Christian Haase-Schuetz
Lars Rosenbaum
Heinz Hertlein
Claudius Gläser
Fabian Duffhauss
W. Wiesbeck
Klaus C. J. Dietmayer
3DPC
46
991
0
21 Feb 2019
Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural
  Networks
Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks
Domen Tabernik
Matej Kristan
A. Leonardis
16
22
0
20 Feb 2019
Adaptive Cross-Modal Few-Shot Learning
Adaptive Cross-Modal Few-Shot Learning
Chen Xing
Negar Rostamzadeh
Boris N. Oreshkin
Pedro H. O. Pinheiro
36
271
0
19 Feb 2019
WIDER Face and Pedestrian Challenge 2018: Methods and Results
WIDER Face and Pedestrian Challenge 2018: Methods and Results
Chen Change Loy
Dahua Lin
Wanli Ouyang
Yuanjun Xiong
Shuo Yang
...
Qiaokang Xie
Ziyang Wu
Lei Lu
Yiheng Liu
Wen-gang Zhou
CVBM
18
37
0
19 Feb 2019
Semantically Interpretable and Controllable Filter Sets
Semantically Interpretable and Controllable Filter Sets
Mohit Prabhushankar
Gukyeong Kwon
Dogancan Temel
G. Al-Regib
17
4
0
17 Feb 2019
Deep Learning for Image Super-resolution: A Survey
Deep Learning for Image Super-resolution: A Survey
Zhihao Wang
Jian Chen
Guosheng Lin
SupR
24
1,419
0
16 Feb 2019
MultiGrain: a unified image embedding for classes and instances
MultiGrain: a unified image embedding for classes and instances
Maxim Berman
Hervé Jégou
Andrea Vedaldi
Iasonas Kokkinos
Matthijs Douze
15
110
0
14 Feb 2019
Integrating Propositional and Relational Label Side Information for
  Hierarchical Zero-Shot Image Classification
Integrating Propositional and Relational Label Side Information for Hierarchical Zero-Shot Image Classification
Colin Samplawski
H. Kwon
Erik Learned-Miller
Benjamin M. Marlin
VLM
24
1
0
14 Feb 2019
Do ImageNet Classifiers Generalize to ImageNet?
Do ImageNet Classifiers Generalize to ImageNet?
Benjamin Recht
Rebecca Roelofs
Ludwig Schmidt
Vaishaal Shankar
OOD
SSeg
VLM
40
1,667
0
13 Feb 2019
DeeperLab: Single-Shot Image Parser
DeeperLab: Single-Shot Image Parser
Tien-Ju Yang
Maxwell D. Collins
Yukun Zhu
Jyh-Jing Hwang
Ting Liu
Xiao Zhang
Vivienne Sze
George Papandreou
Liang-Chieh Chen
SSeg
VLM
41
189
0
13 Feb 2019
Learning to see across Domains and Modalities
Learning to see across Domains and Modalities
Fabio Maria Carlucci
34
0
0
13 Feb 2019
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