Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing
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Published By Springer International Publishing

9783030305079, 9783030305086

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Restoration as a Defense Against Adversarial Perturbations for Spam Image Detection

Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing ◽

10.1007/978-3-030-30508-6_56 ◽

2019 ◽

pp. 711-723

Author(s):

Jianguo Jiang ◽

Boquan Li ◽

Min Yu ◽

Chao Liu ◽

Weiqing Huang ◽

...

Keyword(s):

Image Detection

Scene Graph Generation via Convolutional Message Passing and Class-Aware Memory Embeddings

Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing ◽

10.1007/978-3-030-30508-6_49 ◽

2019 ◽

pp. 620-633

Author(s):

Yidong Zhang ◽

Yunhong Wang ◽

Yuanfang Guo

Keyword(s):

Message Passing ◽

Scene Graph ◽

Graph Generation

Comparative Research on SOM with Torus and Sphere Topologies for Peculiarity Classification of Flat Finishing Skill Training

Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing ◽

10.1007/978-3-030-30508-6_41 ◽

2019 ◽

pp. 510-522

Author(s):

Masaru Teranishi ◽

Shimpei Matsumoto ◽

Hidetoshi Takeno

Keyword(s):

Comparative Research ◽

Skill Training

Delving into the Impact of Saliency Detector: A GeminiNet for Accurate Saliency Detection

Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing ◽

10.1007/978-3-030-30508-6_28 ◽

2019 ◽

pp. 347-359

Author(s):

Tao Zheng ◽

Bo Li ◽

Delu Zeng ◽

Zhiheng Zhou

Keyword(s):

Saliency Detection ◽

The Impact

A Global-Local Architecture Constrained by Multiple Attributes for Person Re-identification

Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing ◽

10.1007/978-3-030-30508-6_23 ◽

2019 ◽

pp. 281-293

Author(s):

Chao Liu ◽

Hongyang Quan

Keyword(s):

Multiple Attributes

Learning Deep Structured Multi-scale Features for Crisp and Object Occlusion Edge Detection

Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing ◽

10.1007/978-3-030-30508-6_21 ◽

2019 ◽

pp. 253-266

Author(s):

Zihao Dong ◽

Ruixun Zhang ◽

Xiuli Shao

Keyword(s):

Edge Detection ◽

Multi Scale

Attentional Residual Dense Factorized Network for Real-Time Semantic Segmentation

Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing ◽

10.1007/978-3-030-30508-6_17 ◽

2019 ◽

pp. 200-212

Author(s):

Lulu Yang ◽

Long Lan ◽

Xiang Zhang ◽

Xuhui Huang ◽

Zhigang Luo

Keyword(s):

Real Time ◽

Semantic Segmentation

A Lightweight Neural Network for Hard Exudate Segmentation of Fundus Image

Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing ◽

10.1007/978-3-030-30508-6_16 ◽

2019 ◽

pp. 189-199 ◽

Cited By ~ 2

Author(s):

Song Guo ◽

Tao Li ◽

Kai Wang ◽

Chan Zhang ◽

Hong Kang

Keyword(s):

Neural Network ◽

Fundus Image ◽

Hard Exudate

COCO_TS Dataset: Pixel–Level Annotations Based on Weak Supervision for Scene Text Segmentation

Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing ◽

10.1007/978-3-030-30508-6_20 ◽

2019 ◽

pp. 238-250 ◽

Cited By ~ 1

Author(s):

Simone Bonechi ◽

Paolo Andreini ◽

Monica Bianchini ◽

Franco Scarselli

Keyword(s):

Text Segmentation ◽

Weak Supervision ◽

Scene Text

On the Inability of Markov Models to Capture Criticality in Human Mobility

Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing ◽

10.1007/978-3-030-30508-6_39 ◽

2019 ◽

pp. 484-497

Author(s):

Vaibhav Kulkarni ◽

Abhijit Mahalunkar ◽

Benoit Garbinato ◽

John D. Kelleher

Keyword(s):

Markov Models ◽

Human Mobility

Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2019: Image ProcessingLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Restoration as a Defense Against Adversarial Perturbations for Spam Image Detection

Scene Graph Generation via Convolutional Message Passing and Class-Aware Memory Embeddings

Comparative Research on SOM with Torus and Sphere Topologies for Peculiarity Classification of Flat Finishing Skill Training

Delving into the Impact of Saliency Detector: A GeminiNet for Accurate Saliency Detection

A Global-Local Architecture Constrained by Multiple Attributes for Person Re-identification

Learning Deep Structured Multi-scale Features for Crisp and Object Occlusion Edge Detection

Attentional Residual Dense Factorized Network for Real-Time Semantic Segmentation

A Lightweight Neural Network for Hard Exudate Segmentation of Fundus Image

COCO_TS Dataset: Pixel–Level Annotations Based on Weak Supervision for Scene Text Segmentation

On the Inability of Markov Models to Capture Criticality in Human Mobility

Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing
Latest Publications