Pattern Recognition and Computer Vision

Table of Contents

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   Book Overview
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   Chapter 1 Dual-Stream Context-Aware Neural Network for Survival Prediction from Whole Slide Images
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   Chapter 2 A Multi-label Image Recognition Algorithm Based on Spatial and Semantic Correlation Interaction
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   Chapter 3 Hierarchical Spatial-Temporal Network for Skeleton-Based Temporal Action Segmentation
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   Chapter 4 Multi-behavior Enhanced Graph Neural Networks for Social Recommendation
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   Chapter 5 A Complex-Valued Neural Network Based Robust Image Compression
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   Chapter 6 Binarizing Super-Resolution Neural Network Without Batch Normalization
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   Chapter 7 Infrared and Visible Image Fusion via Test-Time Training
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   Chapter 8 Graph-Based Dependency-Aware Non-Intrusive Load Monitoring
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    Chapter 9 Few-Shot Object Detection via Classify-Free RPN
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    Chapter 10 IPFR: Identity-Preserving Face Reenactment with Enhanced Domain Adversarial Training and Multi-level Identity Priors
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    Chapter 11 L2MNet: Enhancing Continual Semantic Segmentation with Mask Matching
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    Chapter 12 Adaptive Channel Pruning for Trainability Protection
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    Chapter 13 Exploiting Adaptive Crop and Deformable Convolution for Road Damage Detection
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    Chapter 14 Cascaded-Scoring Tracklet Matching for Multi-object Tracking
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    Chapter 15 Boosting Generalization Performance in Person Re-identification
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    Chapter 16 Self-guided Transformer for Video Super-Resolution
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    Chapter 17 SAMP: Sub-task Aware Model Pruning with Layer-Wise Channel Balancing for Person Search
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    Chapter 18 MKB: Multi-Kernel Bures Metric for Nighttime Aerial Tracking
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    Chapter 19 Deep Arbitrary-Scale Unfolding Network for Color-Guided Depth Map Super-Resolution
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    Chapter 20 SSDD-Net: A Lightweight and Efficient Deep Learning Model for Steel Surface Defect Detection
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    Chapter 21 Effective Small Ship Detection with Enhanced-YOLOv7
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    Chapter 22 PiDiNeXt: An Efficient Edge Detector Based on Parallel Pixel Difference Networks
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    Chapter 23 Transpose and Mask: Simple and Effective Logit-Based Knowledge Distillation for Multi-attribute and Multi-label Classification
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    Chapter 24 CCSR-Net: Unfolding Coupled Convolutional Sparse Representation for Multi-focus Image Fusion
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    Chapter 25 FASONet: A Feature Alignment-Based SAR and Optical Image Fusion Network for Land Use Classification
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    Chapter 26 De Novo Design of Target-Specific Ligands Using BERT-Pretrained Transformer
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    Chapter 27 CLIP for Lightweight Semantic Segmentation
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    Chapter 28 Teacher-Student Cross-Domain Object Detection Model Combining Style Transfer and Adversarial Learning
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    Chapter 29 Computing 2D Skeleton via Generalized Electric Potential
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    Chapter 30 Illumination Insensitive Monocular Depth Estimation Based on Scene Object Attention and Depth Map Fusion
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    Chapter 31 A Few-Shot Medical Image Segmentation Network with Boundary Category Correction
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    Chapter 32 Repdistiller: Knowledge Distillation Scaled by Re-parameterization for Crowd Counting
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    Chapter 33 Multi-depth Fusion Transformer and Batch Piecewise Loss for Visual Sentiment Analysis
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    Chapter 34 Expanding the Horizons: Exploring Further Steps in Open-Vocabulary Segmentation
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    Chapter 35 Exploring a Distillation with Embedded Prompts for Object Detection in Adverse Environments
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    Chapter 36 TEFNet: Target-Aware Enhanced Fusion Network for RGB-T Tracking
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    Chapter 37 DARN: Crowd Counting Network Guided by Double Attention Refinement
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    Chapter 38 DFR-ECAPA: Diffusion Feature Refinement for Speaker Verification Based on ECAPA-TDNN
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    Chapter 39 Half Aggregation Transformer for Exposure Correction
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    Chapter 40 Deformable Spatial-Temporal Attention for Lightweight Video Super-Resolution