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 /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Computer vision - ECCV 2024 Workshops/ edited by Alessio Del Bue ... [et al.].
    其他題名: Milan, Italy, September 29-October 4, 2024 : proceedings.
    其他題名: ECCV 2024 Workshops
    其他作者: Del Bue, Alessio.
    團體作者: European Conference on Computer Vision
    出版者: Cham :Springer Nature Switzerland : : 2025.,
    面頁冊數: lv, 408 p. :ill. (some col.), digital ;24 cm.
    內容註: 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
    標題: Computer vision - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-031-92089-9
    ISBN: 9783031920899
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