Description

Book Synopsis

SeA: Semantic Adversarial Augmentation for Last Layer Features from Unsupervised Representation Learning.- Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents.- Rethinking Fast Adversarial Training: A Splitting Technique To Overcome Catastrophic Overfitting.- Quality Assured: Rethinking Annotation Strategies in Imaging AI.- BRIDGE: Bridging Gaps in Image Captioning Evaluation with Stronger Visual Cues.- Enhancing Plausibility Evaluation for Generated Designs with Denoising Autoencoder.- Weakly-Supervised 3D Hand Reconstruction with Knowledge Prior and Uncertainty Guidance.- 3D Reconstruction of Objects in Hands without Real World 3D Supervision.- To Supervise or Not to Supervise: Understanding and Addressing the Key Challenges of Point Cloud Transfer Learning.- Parameterized Quasi-Physical Simulators for Dexterous Manipulations Transfer.- 3D Hand Pose Estimation in Everyday Egocentric Images.- Mitigating Perspective Distort

Computer Vision ECCV 2024

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    A Paperback by Aleš Leonardis

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      Publisher: Springer
      Publication Date: Publication Date: 10/25/2024
      ISBN13: 9783031732287, 978-3031732287
      ISBN10: 3031732286
      Also in:
      Image processing

      Description

      Book Synopsis

      SeA: Semantic Adversarial Augmentation for Last Layer Features from Unsupervised Representation Learning.- Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents.- Rethinking Fast Adversarial Training: A Splitting Technique To Overcome Catastrophic Overfitting.- Quality Assured: Rethinking Annotation Strategies in Imaging AI.- BRIDGE: Bridging Gaps in Image Captioning Evaluation with Stronger Visual Cues.- Enhancing Plausibility Evaluation for Generated Designs with Denoising Autoencoder.- Weakly-Supervised 3D Hand Reconstruction with Knowledge Prior and Uncertainty Guidance.- 3D Reconstruction of Objects in Hands without Real World 3D Supervision.- To Supervise or Not to Supervise: Understanding and Addressing the Key Challenges of Point Cloud Transfer Learning.- Parameterized Quasi-Physical Simulators for Dexterous Manipulations Transfer.- 3D Hand Pose Estimation in Everyday Egocentric Images.- Mitigating Perspective Distort

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