| 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: |
liv, 270 p. :ill. (some col.), digital ;24 cm. |
| [NT 15003449]: |
Practical Dataset Distillation Based on Deep Support Vectors -- Leveraging FINCH and K-means for Enhanced Cluster-Based Instance Selection -- GSTAM: Efficient Graph Distillation with Structural Attention-Matching -- DiM: Distilling Dataset into Generative Model -- Generative Dataset Distillation using Min-Max Diffusion Model -- Data-Efficient Generation for Dataset Distillation -- Generative Dataset Distillation Based on Diffusion Model -- Optimizing Dataset Distillation Using DATM: Adjusting Learning Rate and Upper Bound -- Well Begun is Half Done: The Importance of Initialization in Dataset Distillation -- Enhancing Dataset Distillation via Label Inconsistency Elimination and Learning Pattern Refinement -- A Spitting Image: Modular Superpixel Tokenization in Vision Transformers -- NIGHT - Non-Line-of-Sight Imaging from indirect Time of Flight data -- Self-accumulative Vision Transformer for Bone Age Assessment using the Sauvegrain Method -- FastTalker: Jointly Generating Speech and Conversational Gestures from Text -- Attend-Fusion: Efficient Audio-Visual Fusion for Video Classification -- CMMD: Contrastive Multi-Modal Diffusion for Video-Audio Conditional Modeling -- Unveiling Visual Biases in Audio-Visual Localization Benchmarks -- AV-CPL: Continuous Pseudo-Labeling for Audio-Visual Speech Recognition -- Towards Multimodal In-Context Learning for Vision & Language Models. |
| Contained By: |
Springer Nature eBook |
| Subject: |
Computer vision - Congresses. - |
| Online resource: |
https://doi.org/10.1007/978-3-031-93806-1 |
| ISBN: |
9783031938061 |