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| Link zu diesem Datensatz | https://d-nb.info/1366872525 |
| Art des Inhalts | Konferenzschrift |
| Titel | Computer Vision – ECCV 2024 Workshops : Milan, Italy, September 29–October 4, 2024, Proceedings, Part XVII / 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, LV, 466 p. 155 illus., 150 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-91584-0 Printed edition:: ISBN: 978-3-031-91586-4 |
| Inhalt | -- Revisiting Relevance Feedback for CLIP-based Interactive Image Retrieval. -- Rethinking Sparse Lexical Representations for Image Retrieval in the Age of Rising Multi-Modal Large Language Models. -- Boundary Attention: Learning curves, corners, junctions and grouping. -- Deep Learning Meets Satellite Images - An Evaluation on Handcrafted and Learning-based Features for Multi-date Satellite Stereo Images. -- Image Color Consistency in Datasets: The Smooth-TPS3D Method. -- Unsupervised Video Summarization: A Reconstruction Model with Proximal Gradient Methods. -- TF-OCM: Training Free Optimal Community Matching for Domain Generalized Few Shot Learning. -- Perspective-Equivariance for Unsupervised Imaging with Camera Geometry. -- Reliable Probabilistic Human Trajectory Prediction for Autonomous Applications. -- Calibration of Network Confidence for Unsupervised Domain Adaptation Using Estimated Accuracy. -- Logit disagreement: OoD Detection with Bayesian Neural Networks. -- Can Your Generative Model Detect Out-of-Distribution Covariate Shift?. -- Multi-label out-of-distribution detection via evidential learning. -- UTrack: Multi-Object Tracking with Uncertain Detections. -- TAG: Text Prompt Augmentation for Zero-Shot Out-of-Distribution Detection. -- Sanity Checks for Explanation Uncertainty. -- Sources of Uncertainty in 3D Scene Reconstruction. -- The BRAVO Semantic Segmentation Challenge Results in UNCV2024. -- Maximally Separated Active Learning. -- Hyperbolic Metric Learning for Visual Outlier Detection. -- A Bottom-Up Approach to Class-Agnostic Image Segmentation. -- Adversarial Attacks on Hyperbolic Networks. -- Hyperbolic Learning with Multimodal Large Language Models. -- Embedding Geometries of Contrastive Language-Image Pre-Training. -- Learning Multi-Manifold Embedding for Out-Of-Distribution Detection -- ProxyDR: Deep Hyperspherical Metric Learning with Distance Ratio-Based Formulation. -- Backward-Compatible Aligned Representations via Orthogonal Transformation Layer |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2505270413222.345497036202 DOI: 10.1007/978-3-031-91585-7 |
| URL | https://doi.org/10.1007/978-3-031-91585-7 |
| ISBN/Einband/Preis | 978-3-031-91585-7 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Computer Science ; 15639 |
| DDC-Notation | 006.37 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
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