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arXiv Computer Vision research summaries for March 16, 2024.
Today's Research Themes (AI-Generated):
• Unsupervised MS-UGCML offers robust performance improvements in general object retrieval.
• Gen-AF enhances the robustness of fine-tuned downstream models against adversarial examples.
• DarkGS employs Neural Light Simulators for realistic 3D scene reconstruction under poor illumination.
• MicroDiffusion combines Implicit Neural Representation and Denoising Diffusion Probabilistic Models for 3D reconstruction from 2D microscopy projections.
• Active Label Correction framework improves active semantic segmentation using foundation models and crowdsourced datasets.
arXiv Computer Vision research summaries for March 16, 2024.
Today's Research Themes (AI-Generated):
• Unsupervised MS-UGCML offers robust performance improvements in general object retrieval.
• Gen-AF enhances the robustness of fine-tuned downstream models against adversarial examples.
• DarkGS employs Neural Light Simulators for realistic 3D scene reconstruction under poor illumination.
• MicroDiffusion combines Implicit Neural Representation and Denoising Diffusion Probabilistic Models for 3D reconstruction from 2D microscopy projections.
• Active Label Correction framework improves active semantic segmentation using foundation models and crowdsourced datasets.