Frontiers of computer vision [electronic resource] : 29th International Workshop, IW-FCV 2023, Yeosu, South Korea, February 20-22, 2023, revised selected papers / Inseop Na, Go Irie, editors.

Intro
Preface
Organization
Contents
Multi-attributed Face Synthesis for One-Shot Deep Face Recognition
1 Introduction
2 Related Work
3 One-Shot Synthetic Face Recognition
3.1 Deep Synthetic Data Generation
3.2 Face Recognition
4 Evaluation Experiments
4.1 Datasets
4.2 Network Settings
4.3 Results
5 Limitations and Discussion
References
Efficient Multi-Receptive Pooling for Object Detection on Drone
1 Introduction
2 Related Work
3 The Proposed Method
3.1 The Backbone
3.2 Efficient Residual Bottleneck

3.3 Efficient Multi-Receptive Pooling
3.4 Loss Function
4 Implementation Details
5 Experimental Results
5.1 Evaluation on Datasets
6 Conclusion
References
Rough Target Region Extraction with Background Learning
1 Introduction
2 Related Work
3 Rough Target Region Extraction with Background Learning
3.1 Background Learning
3.2 Rough Target Region Extraction
4 Experiments
4.1 Experimental Setting
4.2 Evaluation of the Effectiveness of Decision-Boundary Induction
4.3 Comparison of Target Region Extraction Performance
4.4 Ablation Study

4.5 Limitation
5 Conclusions
References
Dynamic Circular Convolution for Image Classification
1 Introduction
2 Related Works
3 Methodology
3.1 Overall Architecture
3.2 Dynamic Circular Convolution
4 Experiments and Results
4.1 Experiments
4.2 Results
5 Conclusion
References
Classification of Lung and Colon Cancer Using Deep Learning Method
1 Introduction
2 Related Works
3 Datasets
3.1 LC25000
4 Methods
4.1 Cyclic Learning Rate
4.2 Proposed CNN Architecture
5 Result Analysis
5.1 Proposed Model Output
6 Conclusion
References

A Style-Based Caricature Generator
1 Introduction
2 Related Work
2.1 Caricature Creation
2.2 Style Transfer
3 Methodology
3.1 Face Caricature Creation
3.2 Style Transfer Generator
3.3 Implementation
4 Experiments
5 Conclusion
References
Attribute Auxiliary Clustering for Person Re-Identification
1 Introduction
2 Related Work
2.1 Unsupervised Person Re-ID Works
2.2 Attribute Auxiliary Person Re-ID
3 Methodology
3.1 USL Person Re-ID Pipeline
3.2 Attribute Auxiliary Clustering
4 Experiments
4.1 Datsets and Implementation

4.2 Comparison with State-of-the-Arts
4.3 Ablation Studies
5 Conclusions
References
YOLO5PKLot: A Parking Lot Detection Network Based on Improved YOLOv5 for Smart Parking Management System
1 Introduction
2 Related Work
2.1 Traditional-Based Method
2.2 Machine Learning-Based Method
3 Methodology
3.1 Proposed Network Architecture
3.2 Loss Function
4 Experiments
4.1 Dataset
4.2 Experimental Setup
4.3 Experimental Result
4.4 Ablation Study
5 Conclusion
References