Description

Book Synopsis

.- 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.

Computer Vision ECCV 2024 Workshops

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    Order before 4pm tomorrow for delivery by Tue 16 Jun 2026.

    A Paperback by Alessio Del Bue

    15 in stock


      View other formats and editions of Computer Vision ECCV 2024 Workshops by Alessio Del Bue

      Publisher: Springer
      Publication Date: 08/06/2025
      ISBN13: 9783031916717, 978-3031916717
      ISBN10:
      Also in:
      Computing Image processing

      Description

      Book Synopsis

      .- 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.

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