Imatge de la portada

Computer Vision – ECCV 2024 Workshops Milan, Italy, September 29–October 4, 2024, Proceedings, Part XIX /

The multi-volume set LNCS 15623 until LNCS 15646 constitutes the proceedings of the workshops that were held in conjunction with the 18th European Conference on Computer Vision, ECCV 2024, which took place in Milan, Italy, during September 29–October 4, 2024. These LNCS volumes contain 574 accepted...

Descripció completa

Guardat en:
Dades bibliogràfiques
Autor corporatiu: SpringerLink (Online service)
Altres autors: Del Bue, Alessio (Editor), Canton, Cristian (Editor), Pont-Tuset, Jordi (Editor), Tommasi, Tatiana (Editor)
Format: Electrònic eBook
Idioma:anglès
Publicat: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Edició:1st ed. 2025.
Col·lecció:Lecture Notes in Computer Science, 15641
Matèries:
Image processing > Digital techniques.
Computer vision.
Image processing.
User interfaces (Computer systems).
Human-computer interaction.
Machine learning.
Computers, Special purpose.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Image Processing.
User Interfaces and Human Computer Interaction.
Machine Learning.
Special Purpose and Application-Based Systems.
Accés en línia:https://doi.org/10.1007/978-3-031-93806-1
Etiquetes: Afegir etiqueta
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
Taula de continguts:
  • 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.

Ítems similars