Merkzettel Warenkorb
Produktbild: Computer Vision – ECCV 2024 Workshops
Band 15644

Computer Vision – ECCV 2024 Workshops Milan, Italy, September 29–October 4, 2024, Proceedings, Part XXII

Aus der Reihe Lecture Notes in Computer Science

87,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Lieferung nach Hause

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

25.05.2025

Abbildungen

LV, 146 illus., 141 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen

Herausgeber

Alessio Del Bue + weitere

Verlag

Springer

Seitenzahl

408

Maße (L/B/H)

23,5/15,5/2,5 cm

Gewicht

698 g

Sprache

Englisch

ISBN

978-3-031-92088-2

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

25.05.2025

Abbildungen

LV, 146 illus., 141 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen

Herausgeber

Verlag

Springer

Seitenzahl

408

Maße (L/B/H)

23,5/15,5/2,5 cm

Gewicht

698 g

Sprache

Englisch

ISBN

978-3-031-92088-2

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: GPSR Kontakt

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)
  • Produktbild: Computer Vision – ECCV 2024 Workshops

  • .- Landmark-Based Screening: Femoral Head Coverage and Graf Classification

    in Infant Developmental Dysplasia of the Hip.

    .- MVTN: A Multiscale Video Transformer Network for Hand Gesture Recognition.

    .- One-Shot Image Restoration.

    .- Medical Image Segmentation with SAM-generated Annotations.

    .- Manipulating and Mitigating Generative Model Biases without Retraining.

    .- Fake or JPEG? Revealing Common Biases in Generated Image Detection

    Datasets.

    .- Generated Bias: Auditing Internal Bias Dynamics of Text-To-Image Generative

    Models.

    .- A semiotic methodology for assessing the compositional effectiveness of generative

    text-to-image models (Midjourney and DALLoE).

    .- A Framework for Critical Evaluation of Text-to-Image Models: Integrating

    Art Historical Analysis, Artistic Exploration, and Critical Prompt Engineering.

    .- Civiverse: A Dataset for Analyzing User Engagement with Open-Source

    TTI-Models.

    .- Exploring the Boundaries of Content Moderation in Text-to-Image Generation.

    .- Rethinking HTG Evaluation: Bridging Generation and Recognition.

    .- Evaluation Framework for Feedback Generation Methods in Skeletal Movement

    Assessment.

    .- FaceOracle: Chat with a Face Image Oracle.

    .- Makeup-Guided Facial Privacy Protection via Untrained Neural Network

    Priors.

    .- How to Squeeze An Explanation Out of Your Model.

    .- How were you created? Explaining synthetic face images generated by diffusion

    models.

    .- Frequency Matters: Explaining Biases of Face Recognition in the Frequency

    Domain.

    .- How green is continual learning, really? Analyzing the energy consumption

    in continual training of vision foundation models.

    .- Architecture-Agnostic Unsupervised Gradient Regularization For

    Parameter-Efficient Transfer Learning.

    .- Foundation Model or Finetune? Evaluation of few-shot semantic segmentation

    for river pollution.

    .- Personalizing Multimodal Large Language Models for Image Captioning: An

    Experimental Analysis.

    .- Improved Baselines for Data-efficient Perceptual Augmentation of LLMs.

    .- Watt for What: Rethinking Deep Learning’s Energy-Performance Relationship.