Frontiers of Computer Vision

29th International Workshop, IW-FCV 2023, Yeosu, South Korea, February 20–22, 2023, Revised Selected Papers

Häftad, Engelska, 2023

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This book constitutes refereed proceedings of the 29th International Workshop on Frontiers of Computer Vision, IW-FCV 2023, held in Yeosu, South Korea in February 20–22, 2023. This workshop is an annual event that brings together researchers in the field of computer vision and artificial intelligence to share their research results. The workshop was started 29 years ago as a way to strengthen networking and share research results between Japanese and Korean researchers, and it has since grown in scope and influence, so from 2017, the workshop became an international event. The 13 full papers presented in this volume were thoroughly reviewed and selected from 72 submissions in 8 countries. The papers are dealing with the following topics:basic theories related to image processing, computer vision, image media, and human interface, as well as all research fields in applied fields such as autonomous vehicle driving, robot automation, and image content recognition. Recently, topics related to application of medical, bio, and entertainment field applying artificial intelligence , and more.

Produktinformation

Utgivningsdatum2023-08-01
Mått155 x 235 x 11 mm
Vikt300 g
FormatHäftad
SpråkEngelska
SerieCommunications in Computer and Information Science
Antal sidor179
Upplaga23001
FörlagSpringer Verlag, Singapore
ISBN9789819949137

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Multi-Attributed Face Synthesis for One-Shot Deep Face Recognition.- Efficient Multi-Receptive Pooling for Object Detection on Drone.- Rough Target Region Extraction with Background Learning.- Dynamic Circular Convolution for Image Classification.- Classification of Lung and Colon Cancer Using Deep Learning Method.- A Style-based Caricature Generator.- Attribute Auxiliary Clustering for Person Re-identification.- YOLO5PKLot: A Parking Lot Detection Network Based on Improved YOLOv5 for Smart Parking Management System.- Texture Synthesis Based on Aesthetic Texture Perception Using CNN Style and Content Features.- Robust Scene Text Detection under Occlusion via Multi-Scale Adaptive Deep Network.- classification of Lung and Colon Cancer Using Deep Learning Method.- Front Cover Image Database of Japanese Manga and Typeface Estimation of their Title.- Human Face Detector with Gender Identification by Split-based Inception Block and Regulated Attention Module.