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Frontiers of Computer Vision 30th International Workshop, IW-FCV 2024, Tokyo, Japan, February 19–21, 2024, Revised Selected Papers /

This book constitutes the revised selected papers from the 30th International Workshop on Frontiers of Computer Vision, IW-FCV 2024, held in Tokyo, Japan, in February 19–21, 2024. IW-FCV 2024 is an annual workshop that brings together researchers in the field of computer vision and artificial intell...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Yhteisötekijä: SpringerLink (Online service)
Muut tekijät: Irie, Go (Toimittaja), Shin, Choonsung (Toimittaja), Shibata, Takashi (Toimittaja), Nakamura, Kazuaki (Toimittaja)
Aineistotyyppi: Elektroninen E-kirja
Kieli:englanti
Julkaistu: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Painos:1st ed. 2024.
Sarja:Communications in Computer and Information Science, 2143
Aiheet:
Artificial intelligence.
Pattern recognition systems.
Computer vision.
Computer engineering.
Computer networks .
Social sciences > Data processing.
Artificial Intelligence.
Automated Pattern Recognition.
Computer Vision.
Computer Engineering and Networks.
Computer Application in Social and Behavioral Sciences.
Linkit:https://doi.org/10.1007/978-981-97-4249-3
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Sisällysluettelo:
  • -- Tackling Background Misclassification in Box-supervised Segmentation: A Background Constraint Approach.
  • Clustering of Face Images in Video by Using Deep Learning.
  • Exploring the Impact of Various Contrastive Learning Loss Functions on Unsupervised Domain Adaptation in Person Re-identification.
  • Automatic Measured Drawing Generation for Mokkan Using Deep Learning.
  • Monocular Absolute 3D Human Pose Estimation with an Uncalibrated Fixed Camera.
  • Technical Skill Evaluation and Training using Motion Curved Surface in Considered Velocity and Acceleration.
  • A Benchmark for 3D Reconstruction with Semantic Completion in Dynamic Environments.
  • Framework for Measuring the Similarity of Visual and Semantic Structures in Sign Languages.
  • Human Facial Age Group Recognizer using Assisted Bottleneck Transformer Encoder.
  • Efficient Detection Model using Feature Maximizer Convolution for Edge Computing.
  • Spatial Attention Network with High Frequency Component for Facial Expression Recognition.
  • Minor Object Recognition from Drone Image Sequence.

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