Overview
- Editors:
- Lazaros Iliadis
Democritus University of Thrace, Xanthi, Greece
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- Antonios Papaleonidas
Democritus University of Thrace, Xanthi, Greece
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- Plamen Angelov
Lancaster University, Lancaster, UK
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- Chrisina Jayne
Teesside University, Middlesbrough, UK
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Part of the book series:Lecture Notes in Computer Science (LNCS, volume 14260)
Included in the following conference series:
Conference proceedings info: ICANN 2023.
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About this book
The 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26–29, 2023.
The 426 full papers, 9 short papers and 9 abstract papers included in these proceedings were carefully reviewed and selected from 947 submissions. ICANN is a dual-track conference, featuring tracks in brain inspired computing on the one hand, and machine learning on the other, with strong cross-disciplinary interactions and applications.
Keywords
- artificial neural networks (NN)
- machine learning
- deep learning
- federated learning
- convolutional neural networks
- spiking neural networks
- timeseries
- adversarial neural networks
- recurrent neural networks
- graph neural networks
- optimization
- natural language
- cybersecurity
- text mining
- bioinformatics
- image-video analysis
- object detection
- graph clustering
Table of contents (42 papers)
Front Matter
Pages i-xxxivA Shallow Information Enhanced Efficient Small Object Detector Based on YOLOv5
- Minhu Yang, Hexiang Bai
Pages 1-13Adaptive Dehazing YOLO for Object Detection
- Kaiwen Zhang, Xuefeng Yan, Yongzhen Wang, Junchen Qi
Pages 14-27Adaptive Training Strategies for Small Object Detection Using Anchor-Based Detectors
- Shenmeng Zhang, Yongqing Sun, Jia Su, Guoxi Gan, Zonghui Wen
Pages 28-39Automatic Driving Scenarios: A Cross-Domain Approach for Object Detection
- Shengheng Liu, Jiacheng Chen, Lei Li, Yahui Ma, Yongming Huang
Pages 40-52Dual Attention Feature Fusion for Visible-Infrared Object Detection
- Yuxuan Hu, Limin Shi, Libo Yao, Lubin Weng
Pages 53-65Feature Sniffer: A Stealthy Inference Attacks Framework on Split Learning
- Sida Luo, Fangchao Yu, Lina Wang, Bo Zeng, Zhi Pang, Kai Zhao
Pages 66-77Few-Shot Object Detection via Transfer Learning and Contrastive Reweighting
- Zhen Wu, Haowei Li, Dongyu Zhang
Pages 78-87GaitFusion: Exploring the Fusion of Silhouettes and Optical Flow for Gait Recognition
- Yuxiang Feng, Jiabin Yuan, Lili Fan
Pages 88-99Gradient Adjusted and Weight Rectified Mean Teacher for Source-Free Object Detection
- Jiawen Peng, Jiaxin Chen, Yanxu Hu, Rong Pan, Andy J. Ma
Pages 100-111IMAM: Incorporating Multiple Attention Mechanisms for 3D Object Detection from Point Cloud
- Jing Zhou, Han Wu
Pages 112-123LGF\(^2\): Local and Global Feature Fusion for Text-Guided Object Detection
- Shuyu Miao, Hexiang Zheng, Lin Zheng, Hong Jin
Pages 124-135MLF-DET: Multi-Level Fusion for Cross-Modal 3D Object Detection
- Zewei Lin, Yanqing Shen, Sanping Zhou, Shitao Chen, Nanning Zheng
Pages 136-149Object Detection in Foggy Images with Transmission Map Guidance
- Zhihao Luo, Jin Xie, Jing Nie
Pages 150-162PE-YOLO: Pyramid Enhancement Network for Dark Object Detection
- Xiangchen Yin, Zhenda Yu, Zetao Fei, Wenjun Lv, Xin Gao
Pages 163-174Region Feature Disentanglement for Domain Adaptive Object Detection
- Rui Wang, Shouhong Wan, Peiquan Jin
Pages 175-186ROFusion: Efficient Object Detection Using Hybrid Point-Wise Radar-Optical Fusion
- Liu Liu, Shuaifeng Zhi, Zhenhua Du, Li Liu, Xinyu Zhang, Kai Huo et al.
Pages 187-198SDGC-YOLOv5: A More Accurate Model for Small Object Detection
- Zhiming Lu, Ying Chen, Shaojie Li, Ming Ma
Pages 199-209The Statistical Characteristics of P3a and P3b Subcomponents in Electroencephalography Signals
- Resfyanti Nur Azizah, Karine Ravienna, Lyra Puspa, Yudiansyah Akbar, Lula Kania Valenza, Galih Restu Fardian Suwandi et al.
Pages 210-220Transforming Limitations into Advantages: Improving Small Object Detection Accuracy with SC-AttentionIoU Loss Function
- Mingle Zhou, Changle Yi, Min Li, Honglin Wan, Gang Li, Delong Han
Pages 221-232
Other volumes
Artificial Neural Networks and Machine Learning – ICANN 2023
Artificial Neural Networks and Machine Learning – ICANN 2023
Artificial Neural Networks and Machine Learning – ICANN 2023
Artificial Neural Networks and Machine Learning – ICANN 2023
Artificial Neural Networks and Machine Learning – ICANN 2023
Artificial Neural Networks and Machine Learning – ICANN 2023
Artificial Neural Networks and Machine Learning – ICANN 2023
Artificial Neural Networks and Machine Learning – ICANN 2023
Artificial Neural Networks and Machine Learning – ICANN 2023
Artificial Neural Networks and Machine Learning – ICANN 2023
Editors and Affiliations
Democritus University of Thrace, Xanthi, Greece
Lazaros Iliadis, Antonios Papaleonidas
Lancaster University, Lancaster, UK
Plamen Angelov
Teesside University, Middlesbrough, UK
Chrisina Jayne
Bibliographic Information
Book Title:Artificial Neural Networks and Machine Learning – ICANN 2023
Book Subtitle:32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26–29, 2023, Proceedings, Part VII
Editors:Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne
Series Title:Lecture Notes in Computer Science
DOI:https://doi.org/10.1007/978-3-031-44195-0
Publisher:Springer Cham
eBook Packages:Computer Science,Computer Science (R0)
Copyright Information:The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Softcover ISBN:978-3-031-44194-3Published: 22 September 2023
eBook ISBN:978-3-031-44195-0Published: 21 September 2023
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number:1
Number of Pages:XXXIV, 529
Number of Illustrations:15 b/w illustrations, 172 illustrations in colour
Topics:Artificial Intelligence,Computer Applications,Computing Milieux,Computer Systems Organization and Communication Networks