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ImageNet Large Scale Visual Recognition Challenge
v1v2v3 (latest)

ImageNet Large Scale Visual Recognition Challenge

International Journal of Computer Vision (IJCV), 2014
1 September 2014
Olga Russakovsky
Gaowen Liu
Hao Su
J. Krause
S. Satheesh
Sean Ma
Zhiheng Huang
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
    VLMObjD
ArXiv (abs)PDFHTML

Papers citing "ImageNet Large Scale Visual Recognition Challenge"

50 / 12,922 papers shown
Title
FSD50K: An Open Dataset of Human-Labeled Sound Events
FSD50K: An Open Dataset of Human-Labeled Sound EventsIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2020
Eduardo Fonseca
Xavier Favory
Jordi Pons
F. Font
Xavier Serra
436
587
0
01 Oct 2020
From Handcrafted to Deep Features for Pedestrian Detection: A Survey
From Handcrafted to Deep Features for Pedestrian Detection: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Jiale Cao
Yanwei Pang
Jin Xie
Fahad Shahbaz Khan
Ling Shao
ObjD
197
126
0
01 Oct 2020
Momentum via Primal Averaging: Theoretical Insights and Learning Rate
  Schedules for Non-Convex Optimization
Momentum via Primal Averaging: Theoretical Insights and Learning Rate Schedules for Non-Convex Optimization
Aaron Defazio
213
28
0
01 Oct 2020
Deep Learning Based Computer-Aided Systems for Breast Cancer Imaging : A
  Critical Review
Deep Learning Based Computer-Aided Systems for Breast Cancer Imaging : A Critical ReviewApplied Sciences (Appl. Sci.), 2020
Yuliana Jiménez-Gaona
María José Rodríguez-Álvarez
Vasudevan Lakshminarayanan
96
79
0
30 Sep 2020
Attention-Aware Noisy Label Learning for Image Classification
Attention-Aware Noisy Label Learning for Image Classification
Zhenzhen Wang
Chunyan Xu
Yap-Peng Tan
Junsong Yuan
NoLa
118
2
0
30 Sep 2020
Multi-channel Deep 3D Face Recognition
Multi-channel Deep 3D Face Recognition
Zhiqian You
Tingting Yang
Miao Jin
CVBM3DH
42
6
0
30 Sep 2020
Dissected 3D CNNs: Temporal Skip Connections for Efficient Online Video
  Processing
Dissected 3D CNNs: Temporal Skip Connections for Efficient Online Video Processing
Okan Kopuklu
Stefan Hormann
Fabian Herzog
Hakan Çevikalp
Gerhard Rigoll
3DPC
104
17
0
30 Sep 2020
Asymmetric Contextual Modulation for Infrared Small Target Detection
Asymmetric Contextual Modulation for Infrared Small Target Detection
Yimian Dai
Yiquan Wu
Fei Zhou
Kobus Barnard
155
539
0
30 Sep 2020
Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven
  Spiking Neural Networks
Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks
Weihao Tan
Devdhar Patel
R. Kozma
152
49
0
30 Sep 2020
Basic principles and concept design of a real-time clinical decision
  support system for managing medical emergencies on missions to Mars
Basic principles and concept design of a real-time clinical decision support system for managing medical emergencies on missions to Mars
J. M. García-Gómez
34
1
0
29 Sep 2020
CrowdMOT: Crowdsourcing Strategies for Tracking Multiple Objects in
  Videos
CrowdMOT: Crowdsourcing Strategies for Tracking Multiple Objects in Videos
Samreen Anjum
Chi Lin
Danna Gurari
VOT
102
3
0
29 Sep 2020
Trustworthy Convolutional Neural Networks: A Gradient Penalized-based
  Approach
Trustworthy Convolutional Neural Networks: A Gradient Penalized-based Approach
Nicholas F Halliwell
Freddy Lecue
FAtt
191
9
0
29 Sep 2020
Spatial Attention as an Interface for Image Captioning Models
Spatial Attention as an Interface for Image Captioning Models
P. Sadler
123
0
0
29 Sep 2020
Attentional Feature Fusion
Attentional Feature Fusion
Yimian Dai
Fabian Gieseke
Stefan Oehmcke
Yiquan Wu
Kobus Barnard
3DPC
181
825
0
29 Sep 2020
Self-grouping Convolutional Neural Networks
Self-grouping Convolutional Neural Networks
Qingbei Guo
Xiaojun Wu
J. Kittler
Zhiquan Feng
120
27
0
29 Sep 2020
MetaMix: Improved Meta-Learning with Interpolation-based Consistency
  Regularization
MetaMix: Improved Meta-Learning with Interpolation-based Consistency Regularization
Yangbin Chen
Yun Ma
Tom Ko
Jianping Wang
Qing Li
VLM
114
10
0
29 Sep 2020
Fast and Incremental Loop Closure Detection with Deep Features and
  Proximity Graphs
Fast and Incremental Loop Closure Detection with Deep Features and Proximity Graphs
Shan An
Haogang Zhu
Dong Wei
Konstantinos A. Tsintotas
Antonios Gasteratos
115
45
0
29 Sep 2020
Grow-Push-Prune: aligning deep discriminants for effective structural
  network compression
Grow-Push-Prune: aligning deep discriminants for effective structural network compression
Qing Tian
Tal Arbel
James J. Clark
141
10
0
29 Sep 2020
Group Whitening: Balancing Learning Efficiency and Representational
  Capacity
Group Whitening: Balancing Learning Efficiency and Representational Capacity
Lei Huang
Yi Zhou
Li Liu
Fan Zhu
Ling Shao
334
24
0
28 Sep 2020
Accelerating Multi-Model Inference by Merging DNNs of Different Weights
Accelerating Multi-Model Inference by Merging DNNs of Different Weights
Joo Seong Jeong
Soojeong Kim
Gyeong-In Yu
Yunseong Lee
Byung-Gon Chun
FedMLMoMeAI4CE
77
8
0
28 Sep 2020
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal EffectNeural Information Processing Systems (NeurIPS), 2020
Kaihua Tang
Jianqiang Huang
Hanwang Zhang
CML
456
492
0
28 Sep 2020
Normalization Techniques in Training DNNs: Methodology, Analysis and
  Application
Normalization Techniques in Training DNNs: Methodology, Analysis and ApplicationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Lei Huang
Jie Qin
Yi Zhou
Fan Zhu
Li Liu
Ling Shao
AI4CE
280
359
0
27 Sep 2020
Hierarchical Deep Multi-modal Network for Medical Visual Question
  Answering
Hierarchical Deep Multi-modal Network for Medical Visual Question AnsweringExpert systems with applications (ESWA), 2020
D. Gupta
S. Suman
Asif Ekbal
111
67
0
27 Sep 2020
Bidirectional Representation Learning from Transformers using Multimodal
  Electronic Health Record Data to Predict Depression
Bidirectional Representation Learning from Transformers using Multimodal Electronic Health Record Data to Predict Depression
Yiwen Meng
W. Speier
Michael K. Ong
C. Arnold
148
0
0
26 Sep 2020
Small Data, Big Decisions: Model Selection in the Small-Data Regime
Small Data, Big Decisions: Model Selection in the Small-Data RegimeInternational Conference on Machine Learning (ICML), 2020
J. Bornschein
Francesco Visin
Simon Osindero
138
45
0
26 Sep 2020
Affinity Space Adaptation for Semantic Segmentation Across Domains
Affinity Space Adaptation for Semantic Segmentation Across DomainsIEEE Transactions on Image Processing (TIP), 2020
Wei Zhou
Yukang Wang
Jiajia Chu
Jiehua Yang
X. Bai
Yongchao Xu
111
62
0
26 Sep 2020
Democratizing Artificial Intelligence in Healthcare: A Study of Model
  Development Across Two Institutions Incorporating Transfer Learning
Democratizing Artificial Intelligence in Healthcare: A Study of Model Development Across Two Institutions Incorporating Transfer Learning
Vikash Gupta
H. Roth
Varun Buch
M. Rockenbach
Richard D. White
...
B. Ghoshhajra
I. Dayan
Daguang Xu
Mona G. Flores
B. S. Erdal
SyDa
97
2
0
25 Sep 2020
SuPEr-SAM: Using the Supervision Signal from a Pose Estimator to Train a
  Spatial Attention Module for Personal Protective Equipment Recognition
SuPEr-SAM: Using the Supervision Signal from a Pose Estimator to Train a Spatial Attention Module for Personal Protective Equipment RecognitionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
A. Sandru
Georgian-Emilian Duta
Mariana-Iuliana Georgescu
Radu Tudor Ionescu
20
4
0
25 Sep 2020
From Pixel to Patch: Synthesize Context-aware Features for Zero-shot
  Semantic Segmentation
From Pixel to Patch: Synthesize Context-aware Features for Zero-shot Semantic SegmentationIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Zhangxuan Gu
Siyuan Zhou
Li Niu
Zihan Zhao
Liqing Zhang
VLMDiffM
185
23
0
25 Sep 2020
A Unified Plug-and-Play Framework for Effective Data Denoising and
  Robust Abstention
A Unified Plug-and-Play Framework for Effective Data Denoising and Robust Abstention
Krishanu Sarker
Xiulong Yang
Yongqian Li
S. Belkasim
Shihao Ji
107
6
0
25 Sep 2020
G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection
  via Pseudo Labelling
G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling
Souradip Chakraborty
A. R. Gosthipaty
Sayak Paul
SSL
92
22
0
25 Sep 2020
Deep Multi-Scale Feature Learning for Defocus Blur Estimation
Deep Multi-Scale Feature Learning for Defocus Blur EstimationIEEE Transactions on Image Processing (TIP), 2020
Ali Karaali
N. Harte
C. R. Jung
98
22
0
24 Sep 2020
A Unifying Review of Deep and Shallow Anomaly Detection
A Unifying Review of Deep and Shallow Anomaly DetectionProceedings of the IEEE (Proc. IEEE), 2020
Lukas Ruff
Jacob R. Kauffmann
Robert A. Vandermeulen
G. Montavon
Wojciech Samek
Matthias Kirchler
Thomas G. Dietterich
Klaus-Robert Muller
UQCV
488
920
0
24 Sep 2020
Understanding Fairness of Gender Classification Algorithms Across
  Gender-Race Groups
Understanding Fairness of Gender Classification Algorithms Across Gender-Race GroupsInternational Conference on Machine Learning and Applications (ICMLA), 2020
Anoop Krishnan
Ali Almadan
A. Rattani
FaML
94
56
0
24 Sep 2020
Disentangled Neural Architecture Search
Disentangled Neural Architecture SearchIEEE International Joint Conference on Neural Network (IJCNN), 2020
Xinyue Zheng
Xuanjing Huang
Qigang Wang
Peng Wang
AI4CE
135
4
0
24 Sep 2020
Unifying data for fine-grained visual species classification
Unifying data for fine-grained visual species classification
Sayali Kulkarni
Tomer Gadot
Chen Luo
Tanya Birch
E. Fegraus
77
1
0
24 Sep 2020
Automatic identification of fossils and abiotic grains during carbonate
  microfacies analysis using deep convolutional neural networks
Automatic identification of fossils and abiotic grains during carbonate microfacies analysis using deep convolutional neural networks
Xiaokang Liu
Haijun Song
156
42
0
24 Sep 2020
Tasks, stability, architecture, and compute: Training more effective
  learned optimizers, and using them to train themselves
Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves
Luke Metz
Niru Maheswaranathan
C. Freeman
Ben Poole
Jascha Narain Sohl-Dickstein
220
69
0
23 Sep 2020
Learning Visual Voice Activity Detection with an Automatically Annotated
  Dataset
Learning Visual Voice Activity Detection with an Automatically Annotated DatasetInternational Conference on Pattern Recognition (ICPR), 2020
Sylvain Guy
Stéphane Lathuilière
Pablo Mesejo
Radu Horaud
113
11
0
23 Sep 2020
Robust and efficient post-processing for video object detection
Robust and efficient post-processing for video object detectionIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Alberto Sabater
Luis Montesano
Ana C. Murillo
140
53
0
23 Sep 2020
Procrustes: a Dataflow and Accelerator for Sparse Deep Neural Network
  Training
Procrustes: a Dataflow and Accelerator for Sparse Deep Neural Network TrainingMicro (MICRO), 2020
Dingqing Yang
Amin Ghasemazar
X. Ren
Maximilian Golub
G. Lemieux
Mieszko Lis
165
55
0
23 Sep 2020
Dataset Cartography: Mapping and Diagnosing Datasets with Training
  Dynamics
Dataset Cartography: Mapping and Diagnosing Datasets with Training DynamicsConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Swabha Swayamdipta
Roy Schwartz
Nicholas Lourie
Yizhong Wang
Hannaneh Hajishirzi
Noah A. Smith
Yejin Choi
313
511
0
22 Sep 2020
Deep Learning based NAS Score and Fibrosis Stage Prediction from CT and
  Pathology Data
Deep Learning based NAS Score and Fibrosis Stage Prediction from CT and Pathology DataInternational Conferences on Biological Information and Biomedical Engineering (ICCBIBE), 2020
Ananya Jana
Hui Qu
Puru Rattan
Carlos D Minacapelli
V. Rustgi
Dimitris N. Metaxas
MedIm
60
13
0
22 Sep 2020
What Do You See? Evaluation of Explainable Artificial Intelligence (XAI)
  Interpretability through Neural Backdoors
What Do You See? Evaluation of Explainable Artificial Intelligence (XAI) Interpretability through Neural BackdoorsKnowledge Discovery and Data Mining (KDD), 2020
Yi-Shan Lin
Wen-Chuan Lee
Z. Berkay Celik
XAI
179
105
0
22 Sep 2020
SAMOT: Switcher-Aware Multi-Object Tracking and Still Another MOT
  Measure
SAMOT: Switcher-Aware Multi-Object Tracking and Still Another MOT Measure
Weitao Feng
Zhihao Hu
Baopu Li
Weihao Gan
Wei Wu
Wanli Ouyang
VOT
140
5
0
22 Sep 2020
CCBlock: An Effective Use of Deep Learning for Automatic Diagnosis of
  COVID-19 Using X-Ray Images
CCBlock: An Effective Use of Deep Learning for Automatic Diagnosis of COVID-19 Using X-Ray ImagesResearch on Biomedical Engineering (RBE), 2020
A. Al-Bawi
K. Al-Kaabi
Mohammed Jeryo
A. Al-Fatlawi
76
16
0
21 Sep 2020
Visual-Semantic Embedding Model Informed by Structured Knowledge
Visual-Semantic Embedding Model Informed by Structured Knowledge
Mirantha Jayathilaka
Tingting Mu
U. Sattler
VLM
102
3
0
21 Sep 2020
Feature Flow: In-network Feature Flow Estimation for Video Object
  Detection
Feature Flow: In-network Feature Flow Estimation for Video Object DetectionPattern Recognition (Pattern Recognit.), 2020
Ruibing Jin
Guosheng Lin
Changyun Wen
Jianliang Wang
Fayao Liu
104
10
0
21 Sep 2020
The DongNiao International Birds 10000 Dataset
The DongNiao International Birds 10000 Dataset
Jianbiao Mei
Hao Dong
38
2
0
21 Sep 2020
Renovating Parsing R-CNN for Accurate Multiple Human Parsing
Renovating Parsing R-CNN for Accurate Multiple Human ParsingEuropean Conference on Computer Vision (ECCV), 2020
Pu Cao
Q. Song
Zhihui Wang
Mengjie Hu
Chun Liu
Xueshi Xin
Wenhe Jia
Songcen Xu
134
64
0
20 Sep 2020
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