Artificial Neural Networks and Machine Learning - ICANN 2023 [E-Book] : 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part VII /

Artificial Neural Networks and Machine Learning - ICANN 2023 [E-Book] : 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part VII / edited by Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne.

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 in...

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Angelov, Plamen, editor
Iliadis, Lazaros, editor / Jayne, Chrisina, editor / Papaleonidas, Antonios, editor
1st edition 2023.
Cham : Springer, 2023
XXXIV, 529 pages 187 illustrations, 172 illustrations in color (online resource)
englisch
9783031441950
10.1007/978-3-031-44195-0
Lecture Notes in Computer Science ; 14260
Application software.
Artificial intelligence.
Computer engineering.
Computer networks .
Computers.



  • A Shallow Information Enhanced Efficient Small Object Detector based on YOLOv5
  • Adaptive Dehazing YOLO for Object Detection
  • Adaptive Training Strategies for Small Object Detection using Anchor-based Detectors
  • Automatic Driving Scenarios: A Cross-Domain Approach for Object Detection
  • Dual Attention Feature Fusion for Visible-Infrared Object Detection
  • Feature Sniffer: A Stealthy Inference Attacks Framework on Split Learning
  • Few-Shot Object Detection via Transfer Learning and Contrastive Reweighting
  • GaitFusion: Exploring the fusion of silhouettes and optical flow for gait recognition
  • Gradient Adjusted and Weight Rectified Mean Teacher for Source-free Object Detection
  • IMAM: Incorporating multiple attention mechanisms for 3D Object Detection from Point Cloud
  • LGF2: Local and Global Feature Fusion for Text-guided Object Detection
  • MLF-DET: Multi-Level Fusion for Cross-Modal 3D Object Detection
  • Object Detection in Foggy Images with Transmission Map Guidance
  • PE-YOLO: Pyramid Enhancement Network for Dark Object Detection
  • Region Feature Disentanglement for Domain Adaptive Object Detection
  • ROFusion: Efficient Object Detection using Hybrid Point-wise Radar-Optical Fusion
  • SDGC-YOLOv5: A more accurate model for small object detection
  • The Statistical Characteristics of P3a and P3b Subcomponents in Electroencephalography Signals
  • Transforming Limitations into Advantages: Improving Small Object Detection Accuracy with SC-AttentionIoU Loss Function
  • Visual-Haptic-Kinesthetic Object Recognition with Multimodal Transformer
  • X-shape Feature Expansion Network for Salient Object Detection in Optical Remote Sensing Images
  • Aggregate Distillation For Top-K Recommender System
  • Candidate-Aware Dynamic Representation for News Recommendation
  • Category Enhanced Dual View Contrastive Learning for Session-based Recommendation
  • Electronic Medical Record Recommendation System Based on Deep Embedding Learning with Named Entity Recognition
  • Incremental Recommendation Algorithm based on the Influence Propagation Model
  • Scenic Spot Recommendation Method Integrating Knowledge Graph And Distance Cost
  • A Unified Video Semantics Extraction and Noise Object Suppression Network for Video Saliency Detection
  • Adaptive Token Excitation With Negative Selection For Video-Text Retrieval
  • Boosting Video Super Resolution with Patch-Based Temporal Redundancy Optimization
  • Bring the Noise: Introducing Noise Robustness to Pretrained Automatic Speech Recognition
  • Correction while Recognition: Combining Pretrained Language Model for Taiwan-accented Speech Recognition
  • Cross-Camera Prototype Learning for Intra-Camera Supervised Person Re-Identification
  • ECDet: A Real-time Vehicle Detection Network for CPU-only Devices
  • Gated Multi-Modal Fusion with Cross-Modal Contrastive Learning for Video Question Answering
  • Learning Video Localization on Segment-Level Video Copy Detection with Transformer
  • Linear Transformer-GAN: A Novel Architecture to Symbolic Music Generation
  • MBMS-GAN: Multi-Band Multi-Scale Adversarial Learning for Enhancement of Coded Speech at Very Low Rate
  • OWS-Seg: online weakly supervised video instance segmentation via contrastive learning
  • Replay to Remember: Continual Layer-Specific Fine-tuning for German Speech Recognition
  • Self-Supervised Video Object Segmentation Using Motion Feature Compensation
  • Space-Time Video Super-Resolution Based on Long-Term Time Dependence.