Computer vision - ECCV 2024 Workshop...
European Conference on Computer Vision (2024 :)

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  • Computer vision - ECCV 2024 Workshops = Milan, Italy, September 29-October 4, 2024 : proceedings.. Part XXII /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Computer vision - ECCV 2024 Workshops/ edited by Alessio Del Bue ... [et al.].
    Reminder of title: Milan, Italy, September 29-October 4, 2024 : proceedings.
    remainder title: ECCV 2024 Workshops
    other author: Del Bue, Alessio.
    corporate name: European Conference on Computer Vision
    Published: Cham :Springer Nature Switzerland : : 2025.,
    Description: lv, 408 p. :ill. (some col.), digital ;24 cm.
    [NT 15003449]: 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.
    Contained By: Springer Nature eBook
    Subject: Computer vision - Congresses. -
    Online resource: https://doi.org/10.1007/978-3-031-92089-9
    ISBN: 9783031920899
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