Katalog der Deutschen Nationalbibliothek
Ergebnis der Suche nach: "Machine Learning"
Treffer 470 von 39444
|
|
| Link zu diesem Datensatz | https://d-nb.info/1366605756 |
| Art des Inhalts | Konferenzschrift |
| Titel | Computer Vision – ECCV 2024 Workshops : Milan, Italy, September 29–October 4, 2024, Proceedings, Part X / edited by Alessio Del Bue, Cristian Canton, Jordi Pont-Tuset, Tatiana Tommasi |
| Person(en) |
Del Bue, Alessio (Herausgeber) Canton, Cristian (Herausgeber) Pont-Tuset, Jordi (Herausgeber) Tommasi, Tatiana (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2025 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2025 |
| Umfang/Format | Online-Ressource, LVI, 398 p. 143 illus., 140 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-91855-1 Printed edition:: ISBN: 978-3-031-91857-5 |
| Inhalt | MobileIQA: Exploiting Mobile-level Diverse Opinion Network For No-Reference Image Quality Assessment Using Knowledge Distillation -- AIM 2024 Sparse Neural Rendering Challenge: Methods and Results -- AIM 2024 Sparse Neural Rendering Challenge: Dataset and Benchmark -- Unsupervised Anomaly Segmentation at High Resolution with Patch-Divide-and-Conquer and Self-Ensembling -- Compression-RQ-VQA: Leveraging Rich Quality-aware Features for Compressed Video Quality Assessment -- Learning from Strong to Weak - An Enhanced Quality Comparison Network via Efficient Transfer Learning -- Assessing UHD Image Quality from Aesthetics, Distortions, and Saliency -- AVSal: Enhancing Video Saliency Prediction through Audio-Visual Fusion and Temporal Aggregation -- SR-VQA: Super-Resolution Video Quality Assessment Model -- AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results -- AIM 2024 Challenge on Video Saliency Prediction: Methods and Results -- Advancing Few-Shot Novel View Synthesis with Teacher-Student Guided Scene Geometry Refinement -- AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results -- TASOD: A Data Collection for Tiny and Small Object Detection -- Effective Prior Regularized Sparse Learning -- AIM 2024 Challenge on UHD Blind Photo Quality Assessment -- Compressed Depth Map Super-Resolution and Restoration: AIM 2024 Challenge Results -- AIM 2024 Challenge on Efficient Video Super-Resolution for AV1 Compressed Content -- Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation -- Leveraging Object Priors for Point Tracking -- PVUW 2024 Challenge on Complex Video Understanding: Methods and Results -- LSVOS Challenge Report: Large-scale Complex and Long Video Object Segmentation |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2505240426551.949334386261 DOI: 10.1007/978-3-031-91856-8 |
| URL | https://doi.org/10.1007/978-3-031-91856-8 |
| ISBN/Einband/Preis | 978-3-031-91856-8 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Computer Science ; 15632 |
| DDC-Notation | 006.37 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
Treffer 470 von 39444
Administration
