Computer vision - ECCV 2024 = 18th E...
European Conference on Computer Vision (2024 :)

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  • Computer vision - ECCV 2024 = 18th European Conference, Milan, Italy, September 29-October 4, 2024 : proceedings.. Part LXXXIX /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Computer vision - ECCV 2024/ edited by Aleš Leonardis ... [et al.].
    其他題名: 18th European Conference, Milan, Italy, September 29-October 4, 2024 : proceedings.
    其他題名: ECCV 2024
    其他作者: Leonardis, Aleš.
    團體作者: European Conference on Computer Vision
    出版者: Cham :Springer Nature Switzerland : : 2025.,
    面頁冊數: lxxxv, 352 p. :ill. (chiefly color), digital ;24 cm.
    內容註: How to Train the Teacher Model for Effective Knowledge Distillation -- Tight and Efficient Upper Bound on Spectral Norm of Convolutional Layers -- Deciphering the Role of Representation Disentanglement: Investigating Compositional Generalization in CLIP Models -- Modality Translation for Object Detection Adaptation without forgetting prior knowledge -- FroSSL: Frobenius Norm Minimization for Efficient Multiview Self-Supervised Learning -- Learning Multimodal Latent Generative Models with Energy-Based Prior -- On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition -- LaWa: Using Latent Space for In-Generation Image Watermarking -- Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution -- Markov Knowledge Distillation: Make Nasty Teachers trained by Self-undermining Knowledge Distillation Fully Distillable -- Co-speech Gesture Video Generation with 3D Human Meshes -- When and How do negative prompts take effect? -- GS2Mesh: Surface Reconstruction from Gaussian Splatting via Novel Stereo Views -- CARFF: Conditional Auto-encoded Radiance Field for 3D Scene Forecasting -- Snuffy: Efficient Whole Slide Image Classifier -- Learning to Build by Building Your Own Instructions -- Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling -- BlenderAlchemy: Editing 3D Graphics with Vision-Language Models -- DεpS: Delayed ε-Shrinking for Faster Once-For-All Training -- Customize-A-Video: One-Shot Motion Customization of Text-to-Video Diffusion Models.
    Contained By: Springer Nature eBook
    標題: Computer vision - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-031-73024-5
    ISBN: 9783031730245
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