ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1409.0575
  4. Cited By
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
ArXivPDFHTML

Papers citing "ImageNet Large Scale Visual Recognition Challenge"

50 / 8,244 papers shown
Title
MetaMixUp: Learning Adaptive Interpolation Policy of MixUp with
  Meta-Learning
MetaMixUp: Learning Adaptive Interpolation Policy of MixUp with Meta-Learning
Zhijun Mai
Guosheng Hu
Dexiong Chen
Fumin Shen
Heng Tao Shen
24
41
0
27 Aug 2019
Customizable Architecture Search for Semantic Segmentation
Customizable Architecture Search for Semantic Segmentation
Yiheng Zhang
Zhaofan Qiu
Jingen Liu
Ting Yao
Dong Liu
Tao Mei
25
142
0
26 Aug 2019
Constructing Self-motivated Pyramid Curriculums for Cross-Domain
  Semantic Segmentation: A Non-Adversarial Approach
Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach
Qing Lian
Fengmao Lv
Lixin Duan
Boqing Gong
SSeg
39
225
0
26 Aug 2019
Relation Distillation Networks for Video Object Detection
Relation Distillation Networks for Video Object Detection
Jiajun Deng
Yingwei Pan
Ting Yao
Wen-gang Zhou
Houqiang Li
Tao Mei
ObjD
108
191
0
26 Aug 2019
Residual Objectness for Imbalance Reduction
Residual Objectness for Imbalance Reduction
Joya Chen
Dong Liu
Bin Luo
X. Peng
Tong Xu
Enhong Chen
ObjD
21
7
0
24 Aug 2019
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
382
4,252
0
23 Aug 2019
Phrase Localization Without Paired Training Examples
Phrase Localization Without Paired Training Examples
Josiah Wang
Lucia Specia
35
42
0
20 Aug 2019
Deep High-Resolution Representation Learning for Visual Recognition
Deep High-Resolution Representation Learning for Visual Recognition
Jingdong Wang
Ke Sun
Tianheng Cheng
Borui Jiang
Chaorui Deng
...
Yadong Mu
Mingkui Tan
Xinggang Wang
Wenyu Liu
Bin Xiao
195
3,550
0
20 Aug 2019
Density estimation in representation space to predict model uncertainty
Density estimation in representation space to predict model uncertainty
Tiago Ramalho
M. Corbalan
UQCV
BDL
16
38
0
20 Aug 2019
Zero-Shot Grounding of Objects from Natural Language Queries
Zero-Shot Grounding of Objects from Natural Language Queries
Arka Sadhu
Kan Chen
Ram Nevatia
ObjD
32
157
0
20 Aug 2019
A Fast and Accurate One-Stage Approach to Visual Grounding
A Fast and Accurate One-Stage Approach to Visual Grounding
Zhengyuan Yang
Boqing Gong
Liwei Wang
Wenbing Huang
Dong Yu
Jiebo Luo
ObjD
19
361
0
18 Aug 2019
Nesterov Accelerated Gradient and Scale Invariance for Adversarial
  Attacks
Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks
Jiadong Lin
Chuanbiao Song
Kun He
Liwei Wang
John E. Hopcroft
AAML
41
555
0
17 Aug 2019
Survey on Deep Neural Networks in Speech and Vision Systems
Survey on Deep Neural Networks in Speech and Vision Systems
M. Alam
Manar D. Samad
Lasitha Vidyaratne
Alexander M. Glandon
Khan M. Iftekharuddin
3DV
VLM
AI4TS
39
207
0
16 Aug 2019
See Clearer at Night: Towards Robust Nighttime Semantic Segmentation
  through Day-Night Image Conversion
See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion
Lei Sun
Kaiwei Wang
Kailun Yang
Kaite Xiang
GAN
30
91
0
16 Aug 2019
Transferable Contrastive Network for Generalized Zero-Shot Learning
Transferable Contrastive Network for Generalized Zero-Shot Learning
Huajie Jiang
Ruiping Wang
Shiguang Shan
Xilin Chen
VLM
24
174
0
16 Aug 2019
Mixed High-Order Attention Network for Person Re-Identification
Mixed High-Order Attention Network for Person Re-Identification
Binghui Chen
Weihong Deng
Jiani Hu
CVBM
24
354
0
16 Aug 2019
Adaptive Regularization of Labels
Adaptive Regularization of Labels
Qianggang Ding
Sifan Wu
Hao Sun
Jiadong Guo
Shutao Xia
ODL
24
29
0
15 Aug 2019
Few-Shot Learning with Global Class Representations
Few-Shot Learning with Global Class Representations
Tiange Luo
Aoxue Li
Tao Xiang
Weiran Huang
Liwei Wang
24
114
0
14 Aug 2019
Visualizing Image Content to Explain Novel Image Discovery
Visualizing Image Content to Explain Novel Image Discovery
Jake H. Lee
K. Wagstaff
27
3
0
14 Aug 2019
Memory-Based Neighbourhood Embedding for Visual Recognition
Memory-Based Neighbourhood Embedding for Visual Recognition
Suichan Li
Dapeng Chen
B. Liu
Nenghai Yu
Rui Zhao
39
39
0
14 Aug 2019
Semi-Supervised Learning using Differentiable Reasoning
Semi-Supervised Learning using Differentiable Reasoning
Emile van Krieken
Erman Acar
F. V. Harmelen
DRL
21
21
0
13 Aug 2019
Detecting semantic anomalies
Detecting semantic anomalies
Faruk Ahmed
Aaron Courville
19
83
0
13 Aug 2019
Domain-Specific Embedding Network for Zero-Shot Recognition
Domain-Specific Embedding Network for Zero-Shot Recognition
Shaobo Min
Hantao Yao
Hongtao Xie
Zhengjun Zha
Yongdong Zhang
35
21
0
12 Aug 2019
Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch
  Noise
Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise
Senwei Liang
Zhongzhan Huang
Mingfu Liang
Haizhao Yang
32
57
0
12 Aug 2019
Robust Online Multi-target Visual Tracking using a HISP Filter with
  Discriminative Deep Appearance Learning
Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning
N. L. Baisa
38
23
0
11 Aug 2019
GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for
  Multi-Modal Data Distributions
GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions
Jogendra Nath Kundu
Maharshi Gor
Dakshit Agrawal
R. Venkatesh Babu
GAN
25
11
0
11 Aug 2019
Temporal Knowledge Propagation for Image-to-Video Person
  Re-identification
Temporal Knowledge Propagation for Image-to-Video Person Re-identification
Xinqian Gu
Bingpeng Ma
Hong Chang
Shiguang Shan
Xilin Chen
14
55
0
11 Aug 2019
UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial
  Cross-Task Distillation
UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation
Jogendra Nath Kundu
Nishank Lakkakula
R. Venkatesh Babu
21
59
0
11 Aug 2019
Effective Training of Convolutional Neural Networks with Low-bitwidth
  Weights and Activations
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations
Bohan Zhuang
Jing Liu
Mingkui Tan
Lingqiao Liu
Ian Reid
Chunhua Shen
MQ
34
45
0
10 Aug 2019
Automatic acute ischemic stroke lesion segmentation using
  semi-supervised learning
Automatic acute ischemic stroke lesion segmentation using semi-supervised learning
Bin Zhao
Shuxue Ding
Hong Wu
Guohua Liu
Chen Cao
Song Jin
Zhiyang Liu
32
10
0
10 Aug 2019
A Mask-RCNN Baseline for Probabilistic Object Detection
A Mask-RCNN Baseline for Probabilistic Object Detection
Phil Ammirato
Alexander C. Berg
27
18
0
09 Aug 2019
VisualBERT: A Simple and Performant Baseline for Vision and Language
VisualBERT: A Simple and Performant Baseline for Vision and Language
Liunian Harold Li
Mark Yatskar
Da Yin
Cho-Jui Hsieh
Kai-Wei Chang
VLM
84
1,924
0
09 Aug 2019
Human Perceptual Evaluations for Image Compression
Human Perceptual Evaluations for Image Compression
Yash J. Patel
Srikar Appalaraju
R. Manmatha
21
17
0
09 Aug 2019
Hard-Mining Loss based Convolutional Neural Network for Face Recognition
Hard-Mining Loss based Convolutional Neural Network for Face Recognition
Yash Srivastava
Vaishnav Murali
S. Dubey
CVBM
35
11
0
09 Aug 2019
GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing
GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing
Xiaohong Liu
Yongrui Ma
Zhihao Shi
Jun Chen
63
742
0
08 Aug 2019
Progressive Relation Learning for Group Activity Recognition
Progressive Relation Learning for Group Activity Recognition
Guyue Hu
Bo Cui
Yuan He
Shan Yu
30
81
0
08 Aug 2019
Location Field Descriptors: Single Image 3D Model Retrieval in the Wild
Location Field Descriptors: Single Image 3D Model Retrieval in the Wild
Alexander Grabner
P. Roth
Vincent Lepetit
3DPC
27
36
0
07 Aug 2019
Robust Learning with Jacobian Regularization
Robust Learning with Jacobian Regularization
Judy Hoffman
Daniel A. Roberts
Sho Yaida
OOD
AAML
25
166
0
07 Aug 2019
Progressive Transfer Learning
Progressive Transfer Learning
Zhengxu Yu
Long Wei
Zhongming Jin
Jianqiang Huang
Deng Cai
Xiansheng Hua
VLM
26
10
0
07 Aug 2019
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for
  Vision-and-Language Tasks
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
Jiasen Lu
Dhruv Batra
Devi Parikh
Stefan Lee
SSL
VLM
149
3,645
0
06 Aug 2019
Semi-Supervised Adversarial Monocular Depth Estimation
Semi-Supervised Adversarial Monocular Depth Estimation
Rongrong Ji
Ke Li
Yan Wang
Xiaoshuai Sun
Feng Guo
Xiaowei Guo
Yongjian Wu
Feiyue Huang
Jiebo Luo
GAN
MDE
27
47
0
06 Aug 2019
Explaining Convolutional Neural Networks using Softmax Gradient
  Layer-wise Relevance Propagation
Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation
Brian Kenji Iwana
Ryohei Kuroki
S. Uchida
FAtt
35
95
0
06 Aug 2019
Fully-automated patient-level malaria assessment on field-prepared thin
  blood film microscopy images, including Supplementary Information
Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information
Charles B. Delahunt
Mayoore S. Jaiswal
M. Horning
Samantha Janko
Clay M. Thompson
...
Elizabeth Villasis
K. Tun
Christine M Bachman
David Bell
C. Mehanian
19
18
0
05 Aug 2019
How Does Learning Rate Decay Help Modern Neural Networks?
How Does Learning Rate Decay Help Modern Neural Networks?
Kaichao You
Mingsheng Long
Jianmin Wang
Michael I. Jordan
36
4
0
05 Aug 2019
Likelihood Contribution based Multi-scale Architecture for Generative
  Flows
Likelihood Contribution based Multi-scale Architecture for Generative Flows
Hari Prasanna Das
Pieter Abbeel
C. Spanos
DRL
AI4CE
22
5
0
05 Aug 2019
Revisiting Feature Alignment for One-stage Object Detection
Revisiting Feature Alignment for One-stage Object Detection
Yuntao Chen
Chenxia Han
Naiyan Wang
Zhaoxiang Zhang
ObjD
52
71
0
05 Aug 2019
To Learn or Not to Learn: Visual Localization from Essential Matrices
To Learn or Not to Learn: Visual Localization from Essential Matrices
Qunjie Zhou
Torsten Sattler
Marc Pollefeys
Laura Leal-Taixe
SSL
24
100
0
04 Aug 2019
Attentive Normalization
Attentive Normalization
Xilai Li
Wei Sun
Tianfu Wu
OOD
ViT
28
31
0
04 Aug 2019
Searching for Ambiguous Objects in Videos using Relational Referring
  Expressions
Searching for Ambiguous Objects in Videos using Relational Referring Expressions
Hazan Anayurt
Sezai Artun Ozyegin
Ulfet Cetin
Utku Aktaş
Sinan Kalkan
25
9
0
03 Aug 2019
Integrating Spatial Configuration into Heatmap Regression Based CNNs for
  Landmark Localization
Integrating Spatial Configuration into Heatmap Regression Based CNNs for Landmark Localization
Christian Payer
Darko Štern
Horst Bischof
M. Urschler
24
276
0
02 Aug 2019
Previous
123...125126127...163164165
Next