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Computer Vision – ECCV 2024 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XLVI /

The multi-volume set of LNCS books with volume numbers 15059 upto 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewe...

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Dettagli Bibliografici
Ente Autore: SpringerLink (Online service)
Altri autori: Leonardis, Aleš (Redattore), Ricci, Elisa (Redattore), Roth, Stefan (Redattore), Russakovsky, Olga (Redattore), Sattler, Torsten (Redattore), Varol, Gül (Redattore)
Natura: Elettronico eBook
Lingua:inglese
Pubblicazione: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Edizione:1st ed. 2025.
Serie:Lecture Notes in Computer Science, 15104
Soggetti:
Image processing > Digital techniques.
Computer vision.
Image processing.
Computer networks .
Machine learning.
Computers, Special purpose.
User interfaces (Computer systems).
Human-computer interaction.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Image Processing.
Computer Communication Networks.
Machine Learning.
Special Purpose and Application-Based Systems.
User Interfaces and Human Computer Interaction.
Accesso online:https://doi.org/10.1007/978-3-031-72952-2
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Riassunto:The multi-volume set of LNCS books with volume numbers 15059 upto 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as Computer vision, Machine learning, Deep neural networks, Reinforcement learning, Object recognition, Image classification, Image processing, Object detection, Semantic segmentation, Human pose estimation, 3D reconstruction, Stereo vision, Computational photography, Neural networks, Image coding, Image reconstruction and Motion estimation.
Descrizione fisica:LXXXV, 477 p. 157 illus., 149 illus. in color. online resource.
ISBN:9783031729522
ISSN:1611-3349 ;
DOI:10.1007/978-3-031-72952-2

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