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. 1409.1556
  4. Cited By
Very Deep Convolutional Networks for Large-Scale Image Recognition
v1v2v3v4v5v6 (latest)

Very Deep Convolutional Networks for Large-Scale Image Recognition

4 September 2014
Karen Simonyan
Andrew Zisserman
    FAttMDE
ArXiv (abs)PDFHTML

Papers citing "Very Deep Convolutional Networks for Large-Scale Image Recognition"

50 / 18,976 papers shown
Title
Probabilistic framework for solving Visual Dialog
Probabilistic framework for solving Visual Dialog
Badri N. Patro
Anupriy
Vinay P. Namboodiri
BDL
141
13
0
11 Sep 2019
Reinforcement Learning and Video Games
Reinforcement Learning and Video Games
Yue Zheng
23
4
0
10 Sep 2019
When Single Event Upset Meets Deep Neural Networks: Observations,
  Explorations, and Remedies
When Single Event Upset Meets Deep Neural Networks: Observations, Explorations, and Remedies
Zheyu Yan
Yiyu Shi
Wang Liao
M. Hashimoto
Xichuan Zhou
Cheng Zhuo
AAML
106
51
0
10 Sep 2019
Deep Hashing Learning for Visual and Semantic Retrieval of Remote
  Sensing Images
Deep Hashing Learning for Visual and Semantic Retrieval of Remote Sensing Images
Weiwei Song
Shutao Li
J. Benediktsson
72
58
0
10 Sep 2019
Semantic Foreground Inpainting from Weak Supervision
Semantic Foreground Inpainting from Weak Supervision
Chenyang Lu
Gijs Dubbelman
74
12
0
10 Sep 2019
Skin cancer detection based on deep learning and entropy to detect
  outlier samples
Skin cancer detection based on deep learning and entropy to detect outlier samples
André G. C. Pacheco
Abder-Rahman Ali
Thomas Trappenberg
60
44
0
10 Sep 2019
Cross-X Learning for Fine-Grained Visual Categorization
Cross-X Learning for Fine-Grained Visual Categorization
W. Luo
Xitong Yang
Xianjie Mo
Yuheng Lu
L. Davis
Jun Li
Jian Yang
Ser-Nam Lim
143
196
0
10 Sep 2019
FDA: Feature Disruptive Attack
FDA: Feature Disruptive Attack
Aditya Ganeshan
S. VivekB.
R. Venkatesh Babu
AAML
118
105
0
10 Sep 2019
Structured Modeling of Joint Deep Feature and Prediction Refinement for
  Salient Object Detection
Structured Modeling of Joint Deep Feature and Prediction Refinement for Salient Object Detection
Yingyue Xu
Dan Xu
Xiaopeng Hong
Wanli Ouyang
Rongrong Ji
Mingliang Xu
Guoying Zhao
144
43
0
10 Sep 2019
TBT: Targeted Neural Network Attack with Bit Trojan
TBT: Targeted Neural Network Attack with Bit Trojan
Adnan Siraj Rakin
Zhezhi He
Deliang Fan
AAML
71
218
0
10 Sep 2019
Universal Physical Camouflage Attacks on Object Detectors
Universal Physical Camouflage Attacks on Object Detectors
Lifeng Huang
Chengying Gao
Yuyin Zhou
Cihang Xie
Alan Yuille
C. Zou
Ning Liu
AAML
182
169
0
10 Sep 2019
Multimodal Attention Branch Network for Perspective-Free Sentence
  Generation
Multimodal Attention Branch Network for Perspective-Free Sentence Generation
A. Magassouba
K. Sugiura
Hisashi Kawai
45
17
0
10 Sep 2019
Confidence Measure Guided Single Image De-raining
Confidence Measure Guided Single Image De-raining
R. Yasarla
Vishal M. Patel
95
52
0
10 Sep 2019
MLOD: A multi-view 3D object detection based on robust feature fusion
  method
MLOD: A multi-view 3D object detection based on robust feature fusion method
Jian Deng
Krzysztof Czarnecki
3DPC
43
37
0
09 Sep 2019
Joint Learning of Saliency Detection and Weakly Supervised Semantic
  Segmentation
Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation
Yu Zeng
Yunzhi Zhuge
Huchuan Lu
Lihe Zhang
80
177
0
09 Sep 2019
DeepObfuscator: Obfuscating Intermediate Representations with
  Privacy-Preserving Adversarial Learning on Smartphones
DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones
Ang Li
Jiayi Guo
Huanrui Yang
Flora D. Salim
Yiran Chen
AAML
55
37
0
09 Sep 2019
Understanding the Effects of Pre-Training for Object Detectors via
  Eigenspectrum
Understanding the Effects of Pre-Training for Object Detectors via Eigenspectrum
Yosuke Shinya
E. Simo-Serra
Taiji Suzuki
48
12
0
09 Sep 2019
Deep Learning-based Radiomic Features for Improving Neoadjuvant
  Chemoradiation Response Prediction in Locally Advanced Rectal Cancer
Deep Learning-based Radiomic Features for Improving Neoadjuvant Chemoradiation Response Prediction in Locally Advanced Rectal Cancer
Jie Fu
Xinran Zhong
Ning Li
R. van Dams
J. Lewis
Kyunghyun Sung
A. Raldow
J. Jin
S. Qi
24
46
0
09 Sep 2019
Unsupervised Domain Adaptation for Depth Prediction from Images
Unsupervised Domain Adaptation for Depth Prediction from Images
A. Tonioni
Matteo Poggi
S. Mattoccia
Luigi Di Stefano
MDE
93
82
0
09 Sep 2019
GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative
  Models
GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models
Dingfan Chen
Ning Yu
Yang Zhang
Mario Fritz
99
52
0
09 Sep 2019
Robust Multi-Modality Multi-Object Tracking
Robust Multi-Modality Multi-Object Tracking
Wenwei Zhang
Hui Zhou
Shuyang Sun
Zhe Wang
Jianping Shi
Chen Change Loy
VOT
77
194
0
09 Sep 2019
DensePoint: Learning Densely Contextual Representation for Efficient
  Point Cloud Processing
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing
Yongcheng Liu
Bin Fan
Gaofeng Meng
Jiwen Lu
Shiming Xiang
Chunhong Pan
3DPC
193
273
0
09 Sep 2019
CBNet: A Novel Composite Backbone Network Architecture for Object
  Detection
CBNet: A Novel Composite Backbone Network Architecture for Object Detection
Yudong Liu
Yongtao Wang
Siwei Wang
Tingting Liang
Qijie Zhao
Zhi Tang
Haibin Ling
ObjD
281
249
0
09 Sep 2019
LCSCNet: Linear Compressing Based Skip-Connecting Network for Image
  Super-Resolution
LCSCNet: Linear Compressing Based Skip-Connecting Network for Image Super-Resolution
Wenming Yang
Xuechen Zhang
Yapeng Tian
Wei Wang
Jing-Hao Xue
Q. Liao
78
16
0
09 Sep 2019
MULE: Multimodal Universal Language Embedding
MULE: Multimodal Universal Language Embedding
Donghyun Kim
Kuniaki Saito
Kate Saenko
Stan Sclaroff
Bryan A. Plummer
VLM
82
40
0
08 Sep 2019
TMA: Tera-MACs/W Neural Hardware Inference Accelerator with a
  Multiplier-less Massive Parallel Processor
TMA: Tera-MACs/W Neural Hardware Inference Accelerator with a Multiplier-less Massive Parallel Processor
Hyunbin Park
Dohyun Kim
Shiho Kim
BDL
26
2
0
08 Sep 2019
Open Compound Domain Adaptation
Open Compound Domain Adaptation
Ziwei Liu
Zhongqi Miao
Xingang Pan
Xiaohang Zhan
Dahua Lin
Stella X. Yu
Boqing Gong
94
132
0
08 Sep 2019
L_DMI: An Information-theoretic Noise-robust Loss Function
L_DMI: An Information-theoretic Noise-robust Loss Function
Yilun Xu
Peng Cao
Yuqing Kong
Yizhou Wang
NoLa
70
57
0
08 Sep 2019
Deep Weakly-Supervised Learning Methods for Classification and
  Localization in Histology Images: A Survey
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey
Jérôme Rony
Soufiane Belharbi
Jose Dolz
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
159
74
0
08 Sep 2019
Recognition Of Surface Defects On Steel Sheet Using Transfer Learning
Recognition Of Surface Defects On Steel Sheet Using Transfer Learning
Jingwen Fu
Xiaoyan Zhu
Yingbin Li
22
15
0
07 Sep 2019
Explicit Facial Expression Transfer via Fine-Grained Representations
Explicit Facial Expression Transfer via Fine-Grained Representations
Zhiwen Shao
Hengliang Zhu
Junshu Tang
Xuequan Lu
Lizhuang Ma
GANCVBM
66
5
0
06 Sep 2019
PREMA: A Predictive Multi-task Scheduling Algorithm For Preemptible
  Neural Processing Units
PREMA: A Predictive Multi-task Scheduling Algorithm For Preemptible Neural Processing Units
Yujeong Choi
Minsoo Rhu
61
135
0
06 Sep 2019
Testing Deep Learning Models for Image Analysis Using Object-Relevant
  Metamorphic Relations
Testing Deep Learning Models for Image Analysis Using Object-Relevant Metamorphic Relations
Yongqiang Tian
Shiqing Ma
Ming Wen
Yepang Liu
Shing-Chi Cheung
Xinming Zhang
VLM
54
5
0
06 Sep 2019
Personalization of Deep Learning
Personalization of Deep Learning
Johannes Schneider
M. Vlachos
103
37
0
06 Sep 2019
Data Sanity Check for Deep Learning Systems via Learnt Assertions
Data Sanity Check for Deep Learning Systems via Learnt Assertions
Haochuan Lu
Huanlin Xu
Nana Liu
Yangfan Zhou
Xin Wang
AAML
38
5
0
06 Sep 2019
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for
  Real-time Execution on Mobile Devices
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices
Xiaolong Ma
Fu-Ming Guo
Wei Niu
Xue Lin
Jian Tang
Kaisheng Ma
Bin Ren
Yanzhi Wang
CVBM
95
180
0
06 Sep 2019
Building Task-Oriented Visual Dialog Systems Through Alternative
  Optimization Between Dialog Policy and Language Generation
Building Task-Oriented Visual Dialog Systems Through Alternative Optimization Between Dialog Policy and Language Generation
Mingyang Zhou
Josh Arnold
Zhou Yu
OffRL
63
11
0
06 Sep 2019
Semantic Correlation Promoted Shape-Variant Context for Segmentation
Semantic Correlation Promoted Shape-Variant Context for Segmentation
Henghui Ding
Xudong Jiang
Bing Shuai
A. Liu
Gang Wang
ISeg
106
169
0
05 Sep 2019
On the Acceleration of Deep Learning Model Parallelism with Staleness
On the Acceleration of Deep Learning Model Parallelism with Staleness
An Xu
Zhouyuan Huo
Heng-Chiao Huang
65
38
0
05 Sep 2019
What can computational models learn from human selective attention? A
  review from an audiovisual crossmodal perspective
What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective
Di Fu
C. Weber
Guochun Yang
Matthias Kerzel
Weizhi Nan
Pablo V. A. Barros
Haiyan Wu
Xun Liu
S. Wermter
33
0
0
05 Sep 2019
AFP-Net: Realtime Anchor-Free Polyp Detection in Colonoscopy
AFP-Net: Realtime Anchor-Free Polyp Detection in Colonoscopy
Dechun Wang
Ning Zhang
Xinzi Sun
Pengfei Zhang
Chenxi Zhang
Yu Cao
Benyuan Liu
41
42
0
05 Sep 2019
Semantic-Aware Scene Recognition
Semantic-Aware Scene Recognition
Alejandro López-Cifuentes
Marcos Escudero-Viñolo
Jesús Bescós
Álvaro García-Martín
77
106
0
05 Sep 2019
Training High-Performance and Large-Scale Deep Neural Networks with Full
  8-bit Integers
Training High-Performance and Large-Scale Deep Neural Networks with Full 8-bit Integers
Yukuan Yang
Shuang Wu
Lei Deng
Tianyi Yan
Yuan Xie
Guoqi Li
MQ
171
113
0
05 Sep 2019
Efficient Neural Architecture Transformation Searchin Channel-Level for
  Object Detection
Efficient Neural Architecture Transformation Searchin Channel-Level for Object Detection
Junran Peng
Ming Sun
Zhaoxiang Zhang
Tieniu Tan
Junjie Yan
ViT
86
56
0
05 Sep 2019
POD: Practical Object Detection with Scale-Sensitive Network
POD: Practical Object Detection with Scale-Sensitive Network
Junran Peng
Ming Sun
Zhaoxiang Zhang
Tieniu Tan
Junjie Yan
ObjD
88
22
0
05 Sep 2019
Super-resolved Chromatic Mapping of Snapshot Mosaic Image Sensors via a
  Texture Sensitive Residual Network
Super-resolved Chromatic Mapping of Snapshot Mosaic Image Sensors via a Texture Sensitive Residual Network
M. Shoeiby
L. Petersson
M. Armin
M. S. Aliakbarian
A. Robles-Kelly
33
2
0
05 Sep 2019
A Better Way to Attend: Attention with Trees for Video Question
  Answering
A Better Way to Attend: Attention with Trees for Video Question Answering
Hongyang Xue
Wenqing Chu
Zhou Zhao
Deng Cai
57
33
0
05 Sep 2019
Understanding Human Gaze Communication by Spatio-Temporal Graph
  Reasoning
Understanding Human Gaze Communication by Spatio-Temporal Graph Reasoning
Lifeng Fan
Wenguan Wang
Siyuan Huang
Xinyu Tang
Song-Chun Zhu
92
110
0
04 Sep 2019
Beyond Photo Realism for Domain Adaptation from Synthetic Data
Beyond Photo Realism for Domain Adaptation from Synthetic Data
Kristofer Schlachter
Connor DeFanti
Sebastian Herscher
Ken Perlin
Jonathan Tompson
35
0
0
04 Sep 2019
Dense Extreme Inception Network: Towards a Robust CNN Model for Edge
  Detection
Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection
Xavier Soria Poma
Edgar Riba
A. Sappa
94
302
0
04 Sep 2019
Previous
123...243244245...378379380
Next