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Artificial Neural Networks and Machine Learning – ICANN 2023

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Cover of 'Artificial Neural Networks and Machine Learning – ICANN 2023'

Table of Contents

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    Book Overview
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    Chapter 1 A Shallow Information Enhanced Efficient Small Object Detector Based on YOLOv5
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    Chapter 2 Adaptive Dehazing YOLO for Object Detection
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    Chapter 3 Adaptive Training Strategies for Small Object Detection Using Anchor-Based Detectors
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    Chapter 4 Automatic Driving Scenarios: A Cross-Domain Approach for Object Detection
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    Chapter 5 Dual Attention Feature Fusion for Visible-Infrared Object Detection
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    Chapter 6 Feature Sniffer: A Stealthy Inference Attacks Framework on Split Learning
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    Chapter 7 Few-Shot Object Detection via Transfer Learning and Contrastive Reweighting
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    Chapter 8 GaitFusion: Exploring the Fusion of Silhouettes and Optical Flow for Gait Recognition
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    Chapter 9 Gradient Adjusted and Weight Rectified Mean Teacher for Source-Free Object Detection
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    Chapter 10 IMAM: Incorporating Multiple Attention Mechanisms for 3D Object Detection from Point Cloud
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    Chapter 11 LGF $$^2$$ 2 : Local and Global Feature Fusion for Text-Guided Object Detection
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    Chapter 12 MLF-DET: Multi-Level Fusion for Cross-Modal 3D Object Detection
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    Chapter 13 Object Detection in Foggy Images with Transmission Map Guidance
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    Chapter 14 PE-YOLO: Pyramid Enhancement Network for Dark Object Detection
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    Chapter 15 Region Feature Disentanglement for Domain Adaptive Object Detection
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    Chapter 16 ROFusion: Efficient Object Detection Using Hybrid Point-Wise Radar-Optical Fusion
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    Chapter 17 SDGC-YOLOv5: A More Accurate Model for Small Object Detection
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    Chapter 18 The Statistical Characteristics of P3a and P3b Subcomponents in Electroencephalography Signals
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    Chapter 19 Transforming Limitations into Advantages: Improving Small Object Detection Accuracy with SC-AttentionIoU Loss Function
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    Chapter 20 Visual-Haptic-Kinesthetic Object Recognition with Multimodal Transformer
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    Chapter 21 X-shape Feature Expansion Network for Salient Object Detection in Optical Remote Sensing Images
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    Chapter 22 Aggregate Distillation for Top- K Recommender System
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    Chapter 23 Candidate-Aware Dynamic Representation for News Recommendation
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    Chapter 24 Category Enhanced Dual View Contrastive Learning for Session-Based Recommendation
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    Chapter 25 Electronic Medical Record Recommendation System Based on Deep Embedding Learning with Named Entity Recognition
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    Chapter 26 Incremental Recommendation Algorithm Based on the Influence Propagation Model
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    Chapter 27 Scenic Spot Recommendation Method Integrating Knowledge Graph and Distance Cost
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    Chapter 28 A Unified Video Semantics Extraction and Noise Object Suppression Network for Video Saliency Detection
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    Chapter 29 Adaptive Token Excitation with Negative Selection for Video-Text Retrieval
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    Chapter 30 Boosting Video Super Resolution with Patch-Based Temporal Redundancy Optimization
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    Chapter 31 Bring the Noise: Introducing Noise Robustness to Pretrained Automatic Speech Recognition
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    Chapter 32 Correction while Recognition: Combining Pretrained Language Model for Taiwan-Accented Speech Recognition
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    Chapter 33 Cross-Camera Prototype Learning for Intra-camera Supervised Person Re-identification
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    Chapter 34 ECDet: A Real-Time Vehicle Detection Network for CPU-Only Devices
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    Chapter 35 Gated Multi-modal Fusion with Cross-modal Contrastive Learning for Video Question Answering
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    Chapter 36 Learning Video Localization on Segment-Level Video Copy Detection with Transformer
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    Chapter 37 Linear Transformer-GAN: A Novel Architecture to Symbolic Music Generation
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    Chapter 38 MBMS-GAN: Multi-Band Multi-Scale Adversarial Learning for Enhancement of Coded Speech at Very Low Rate
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    Chapter 39 OWS-Seg: Online Weakly Supervised Video Instance Segmentation via Contrastive Learning
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    Chapter 40 Replay to Remember: Continual Layer-Specific Fine-Tuning for German Speech Recognition
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    Chapter 41 Self-supervised Video Object Segmentation Using Motion Feature Compensation
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    Chapter 42 Space-Time Video Super-Resolution Based on Long-Term Time Dependence
Attention for Chapter 34: ECDet: A Real-Time Vehicle Detection Network for CPU-Only Devices
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Summary
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Chapter title
ECDet: A Real-Time Vehicle Detection Network for CPU-Only Devices
Chapter number 34
Book title
Artificial Neural Networks and Machine Learning – ICANN 2023
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-44195-0_34
Book ISBNs
978-3-03-144194-3, 978-3-03-144195-0
Authors

Gao, Fei, Wang, Zhiwen, Shao, Jianwen, Dong, Xinyang, Weng, Libo

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