Produktbild: Computer Vision – ECCV 2024 Workshops
Band 15644

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

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

25.05.2025

Abbildungen

LV, 408 p. 146 illus., 141 illus. in color.

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, 408 p. 146 illus., 141 illus. in color.

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

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  • Produktbild: Computer Vision – ECCV 2024 Workshops

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    .- 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



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



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    .- 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



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    .- FaceOracle: Chat with a Face Image Oracle.



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



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



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



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



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



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    .- 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



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



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