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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 / 8,244 papers shown
Title
An empirical analysis of the optimization of deep network loss surfaces
An empirical analysis of the optimization of deep network loss surfaces
Daniel Jiwoong Im
Michael Tao
K. Branson
ODL
35
62
0
13 Dec 2016
COCO-Stuff: Thing and Stuff Classes in Context
COCO-Stuff: Thing and Stuff Classes in Context
Holger Caesar
J. Uijlings
V. Ferrari
25
1,363
0
12 Dec 2016
Analysis and Optimization of Loss Functions for Multiclass, Top-k, and
  Multilabel Classification
Analysis and Optimization of Loss Functions for Multiclass, Top-k, and Multilabel Classification
Maksim Lapin
Matthias Hein
Bernt Schiele
41
102
0
12 Dec 2016
Multiple Instance Learning: A Survey of Problem Characteristics and
  Applications
Multiple Instance Learning: A Survey of Problem Characteristics and Applications
M. Carbonneau
Veronika Cheplygina
Eric Granger
G. Gagnon
23
617
0
11 Dec 2016
Generalized Deep Image to Image Regression
Generalized Deep Image to Image Regression
Venkataraman Santhanam
Vlad I. Morariu
L. Davis
3DV
29
71
0
10 Dec 2016
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
273
21,878
0
09 Dec 2016
Clipper: A Low-Latency Online Prediction Serving System
Clipper: A Low-Latency Online Prediction Serving System
D. Crankshaw
Xin Wang
Giulio Zhou
Michael Franklin
Joseph E. Gonzalez
Ion Stoica
32
672
0
09 Dec 2016
Large-Margin Softmax Loss for Convolutional Neural Networks
Large-Margin Softmax Loss for Convolutional Neural Networks
Weiyang Liu
Yandong Wen
Zhiding Yu
Meng Yang
CVBM
36
1,451
0
07 Dec 2016
ExtremeWeather: A large-scale climate dataset for semi-supervised
  detection, localization, and understanding of extreme weather events
ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events
Evan Racah
Christopher Beckham
Tegan Maharaj
Samira Ebrahimi Kahou
P. Prabhat
C. Pal
27
18
0
07 Dec 2016
Learning Diverse Image Colorization
Learning Diverse Image Colorization
Aditya Deshpande
Jiajun Lu
Mao-Chuang Yeh
Min Jin Chong
David A. Forsyth
GAN
19
192
0
06 Dec 2016
A Probabilistic Framework for Deep Learning
A Probabilistic Framework for Deep Learning
Ankit B. Patel
M. T. Nguyen
Richard G. Baraniuk
BDL
37
68
0
06 Dec 2016
FMA: A Dataset For Music Analysis
FMA: A Dataset For Music Analysis
M. Defferrard
Kirell Benzi
P. Vandergheynst
Xavier Bresson
15
428
0
06 Dec 2016
Towards the Limit of Network Quantization
Towards the Limit of Network Quantization
Yoojin Choi
Mostafa El-Khamy
Jungwon Lee
MQ
22
191
0
05 Dec 2016
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
287
5,707
0
05 Dec 2016
ImageNet pre-trained models with batch normalization
ImageNet pre-trained models with batch normalization
Marcel Simon
E. Rodner
Joachim Denzler
VLM
SSeg
44
165
0
05 Dec 2016
Deep Metric Learning via Facility Location
Deep Metric Learning via Facility Location
Hyun Oh Song
Stefanie Jegelka
V. Rathod
Kevin Patrick Murphy
35
23
0
05 Dec 2016
End-to-end Learning of Driving Models from Large-scale Video Datasets
End-to-end Learning of Driving Models from Large-scale Video Datasets
Huazhe Xu
Yang Gao
Feng Yu
Trevor Darrell
46
822
0
04 Dec 2016
Trained Ternary Quantization
Trained Ternary Quantization
Chenzhuo Zhu
Song Han
Huizi Mao
W. Dally
MQ
92
1,035
0
04 Dec 2016
Action Recognition with Dynamic Image Networks
Action Recognition with Dynamic Image Networks
Hakan Bilen
Basura Fernando
Efstratios Gavves
Andrea Vedaldi
FAtt
29
223
0
02 Dec 2016
Guided Open Vocabulary Image Captioning with Constrained Beam Search
Guided Open Vocabulary Image Captioning with Constrained Beam Search
Peter Anderson
Basura Fernando
Mark Johnson
Stephen Gould
35
232
0
02 Dec 2016
Breast Mass Classification from Mammograms using Deep Convolutional
  Neural Networks
Breast Mass Classification from Mammograms using Deep Convolutional Neural Networks
Daniel Levy
Arzav Jain
MedIm
29
206
0
02 Dec 2016
FINN: A Framework for Fast, Scalable Binarized Neural Network Inference
FINN: A Framework for Fast, Scalable Binarized Neural Network Inference
Yaman Umuroglu
Nicholas J. Fraser
Giulio Gambardella
Michaela Blott
Philip H. W. Leong
Magnus Jahre
K. Vissers
MQ
53
985
0
01 Dec 2016
In Teacher We Trust: Learning Compressed Models for Pedestrian Detection
In Teacher We Trust: Learning Compressed Models for Pedestrian Detection
Jonathan Shen
Noranart Vesdapunt
Vishnu Boddeti
Kris Kitani
19
29
0
01 Dec 2016
Generalizing Skills with Semi-Supervised Reinforcement Learning
Generalizing Skills with Semi-Supervised Reinforcement Learning
Chelsea Finn
Tianhe Yu
Justin Fu
Pieter Abbeel
Sergey Levine
OffRL
SSL
35
68
0
01 Dec 2016
Playing Doom with SLAM-Augmented Deep Reinforcement Learning
Playing Doom with SLAM-Augmented Deep Reinforcement Learning
Shehroze Bhatti
Alban Desmaison
O. Mikšík
Nantas Nardelli
N. Siddharth
Philip Torr
OffRL
35
69
0
01 Dec 2016
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Zifeng Wu
Chunhua Shen
Anton Van Den Hengel
SSeg
260
1,498
0
30 Nov 2016
Speed/accuracy trade-offs for modern convolutional object detectors
Speed/accuracy trade-offs for modern convolutional object detectors
Jonathan Huang
V. Rathod
Chen Sun
Menglong Zhu
Anoop Korattikara Balan
...
Ian S. Fischer
Z. Wojna
Yang Song
S. Guadarrama
Kevin Patrick Murphy
3DH
3DV
29
2,564
0
30 Nov 2016
High-Resolution Image Inpainting using Multi-Scale Neural Patch
  Synthesis
High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis
Chao Yang
Xin Lu
Zhe Lin
Eli Shechtman
Oliver Wang
Hao Li
46
780
0
30 Nov 2016
Attend in groups: a weakly-supervised deep learning framework for
  learning from web data
Attend in groups: a weakly-supervised deep learning framework for learning from web data
Bohan Zhuang
Lingqiao Liu
Yao Li
Chunhua Shen
Ian Reid
NoLa
24
89
0
30 Nov 2016
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel
  Prediction
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
SSL
DRL
31
666
0
29 Nov 2016
Learning Features of Music from Scratch
Learning Features of Music from Scratch
John Thickstun
Zaïd Harchaoui
Sham Kakade
27
201
0
29 Nov 2016
Gossip training for deep learning
Gossip training for deep learning
Michael Blot
David Picard
Matthieu Cord
Nicolas Thome
FedML
32
112
0
29 Nov 2016
Predicting Human Eye Fixations via an LSTM-based Saliency Attentive
  Model
Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model
Marcella Cornia
Lorenzo Baraldi
G. Serra
Rita Cucchiara
40
550
0
29 Nov 2016
Is a picture worth a thousand words? A Deep Multi-Modal Fusion
  Architecture for Product Classification in e-commerce
Is a picture worth a thousand words? A Deep Multi-Modal Fusion Architecture for Product Classification in e-commerce
Tom Zahavy
Alessandro Magnani
Abhinandan Krishnan
Shie Mannor
35
63
0
29 Nov 2016
Deep Quantization: Encoding Convolutional Activations with Deep
  Generative Model
Deep Quantization: Encoding Convolutional Activations with Deep Generative Model
Zhaofan Qiu
Ting Yao
Tao Mei
DRL
MQ
34
59
0
29 Nov 2016
Material Recognition from Local Appearance in Global Context
Material Recognition from Local Appearance in Global Context
Gabriel Schwartz
Ko Nishino
22
27
0
28 Nov 2016
DeepSetNet: Predicting Sets with Deep Neural Networks
DeepSetNet: Predicting Sets with Deep Neural Networks
S. Hamid Rezatofighi
B. V. Kumar
Anton Milan
Ehsan Abbasnejad
A. Dick
Ian Reid
BDL
34
51
0
28 Nov 2016
Range Loss for Deep Face Recognition with Long-tail
Range Loss for Deep Face Recognition with Long-tail
Xiao Zhang
Zhiyuan Fang
Yandong Wen
Zhifeng Li
Yu Qiao
CVBM
250
447
0
28 Nov 2016
Real-Time Video Highlights for Yahoo Esports
Real-Time Video Highlights for Yahoo Esports
Yale Song
11
14
0
27 Nov 2016
Learning an Invariant Hilbert Space for Domain Adaptation
Learning an Invariant Hilbert Space for Domain Adaptation
Samitha Herath
Mehrtash Harandi
Fatih Porikli
18
107
0
25 Nov 2016
Full-Resolution Residual Networks for Semantic Segmentation in Street
  Scenes
Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes
Tobias Pohlen
Alexander Hermans
Markus Mathias
Bastian Leibe
SSeg
44
562
0
24 Nov 2016
Robotic Grasp Detection using Deep Convolutional Neural Networks
Robotic Grasp Detection using Deep Convolutional Neural Networks
Sulabh Kumra
Christopher Kanan
40
421
0
24 Nov 2016
GuessWhat?! Visual object discovery through multi-modal dialogue
GuessWhat?! Visual object discovery through multi-modal dialogue
H. D. Vries
Florian Strub
A. Chandar
Olivier Pietquin
Hugo Larochelle
Aaron Courville
VLM
50
427
0
23 Nov 2016
Straight to Shapes: Real-time Detection of Encoded Shapes
Straight to Shapes: Real-time Detection of Encoded Shapes
Saumya Jetley
Michael Sapienza
Stuart Golodetz
Philip Torr
ObjD
25
50
0
23 Nov 2016
Image-based localization using LSTMs for structured feature correlation
Image-based localization using LSTMs for structured feature correlation
F. Walch
C. Hazirbas
Laura Leal-Taixé
Torsten Sattler
S. Hilsenbeck
Daniel Cremers
44
494
0
23 Nov 2016
Learning Joint Feature Adaptation for Zero-Shot Recognition
Learning Joint Feature Adaptation for Zero-Shot Recognition
Ziming Zhang
Venkatesh Saligrama
31
19
0
23 Nov 2016
Quad-networks: unsupervised learning to rank for interest point
  detection
Quad-networks: unsupervised learning to rank for interest point detection
Nikolay Savinov
Akihito Seki
Lubor Ladicky
Torsten Sattler
Marc Pollefeys
3DPC
33
172
0
22 Nov 2016
Fast and Energy-Efficient CNN Inference on IoT Devices
Fast and Energy-Efficient CNN Inference on IoT Devices
Mohammad Motamedi
Daniel D. Fong
S. Ghiasi
34
19
0
22 Nov 2016
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
218
19,509
0
21 Nov 2016
Sampled Image Tagging and Retrieval Methods on User Generated Content
Sampled Image Tagging and Retrieval Methods on User Generated Content
Karl S. Ni
Kyle Zaragoza
Charles Foster
C. Carrano
Barry Y. Chen
Yonas Tesfaye
A. Gude
22
6
0
21 Nov 2016
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