Computer Vision – ECCV 2024 Workshops

Milan, Italy, September 29–October 4, 2024, Proceedings, Part XVIII

AvAlessio Del Bue,Cristian Canton

Häftad, Engelska, 2025

Del 15640 i serien Lecture Notes in Computer Science

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2025-05-21
Mått:155 x 235 x 24 mm
Vikt:663 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:382
Förlag:Springer International Publishing AG
ISBN:9783031916717
Originaltitel:Computer Vision – ECCV 2024 Workshops

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Innehållsförteckning

.- DeepClean: Machine Unlearning on the Cheap by Resetting Privacy Sensitive Weights using the Fisher Diagonal..- Prompt Sliders for Fine-Grained Control, Editing and Erasing of Concepts in Diffusion Models..- Aligning Vision Language Models with Contrastive Learning..- Open-set object detection: towards unified problem formulation and benchmarking..- Open-Vocabulary Object Detectors: Robustness Challenges under Distribution Shifts..- SOOD-ImageNet: a Large-Scale Dataset for Semantic Out-Of-Distribution Image Classification and Semantic Segmentation..- Online Stochastic Optimization for Data with Temporal Dependencies..- A Lost Opportunity for Vision-Language Models: A Comparative Study of Online Test-Time Adaptation for Vision-Language Models..- OSSA: Unsupervised One-Shot Style Adaptation..- ZoDi: Zero-Shot Domain Adaptation with Diffusion-Based Image Transfer..- Open-set Plankton Recognition..- Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation?..- On the Potential of Open-Vocabulary Models for Object Detection in Unusual Street Scenes..- Source-Free Domain Adaptation for YOLO Object Detection..- Task-Specific Adaptation of Segmentation Foundation Model via Prompt Learning..- Utilizing Class-Agnostic Point-to-Box Regressors as Object Proposal Generators..- Introducing a Class-Aware Metric for Monocular Depth Estimation: An Automotive Perspective..- Improving Generalization in Visual Reasoning via Self-Ensemble..- BelHouse3D: A Benchmark Dataset for Assessing Occlusion Robustness in 3D Point Cloud Semantic Segmentation..- Image Translation with Kernel Prediction Networks for Semantic Segmentation..- Robust fine-tuning and adaptation of zero-shot models via adaptive weightspace ensembling..- Robustness to Spurious Correlation: A Comprehensive Review.