| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
Computer vision - ECCV 2024/ edited by Aleš Leonardis ... [et al.]. |
| Reminder of title: |
18th European Conference, Milan, Italy, September 29-October 4, 2024 : proceedings. |
| remainder title: |
ECCV 2024 |
| other author: |
Leonardis, Aleš. |
| corporate name: |
European Conference on Computer Vision |
| Published: |
Cham :Springer Nature Switzerland : : 2025., |
| Description: |
lxxxv, 352 p. :ill. (chiefly color), digital ;24 cm. |
| [NT 15003449]: |
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 |
| Subject: |
Computer vision - Congresses. - |
| Online resource: |
https://doi.org/10.1007/978-3-031-73024-5 |
| ISBN: |
9783031730245 |