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arXiv Computer Vision research summaries for April 03, 2024.
Today's Research Themes (AI-Generated):
• Cross-colour feature fusion in quantum-classical stack ensemble improves breast cancer classification.
• RS3Mamba, a novel visual state space model, enhances remote sensing images' semantic segmentation.
• TSNet introduces a two-stage network for better generalization and artifact reduction in image dehazing.
• PartCrop, a unified membership inference method, evaluates privacy concerns in self-supervised learning models.
• VIAssist adapts multi-modal large language models to provide visual assistance for users with visual impairments.
arXiv Computer Vision research summaries for April 03, 2024.
Today's Research Themes (AI-Generated):
• Cross-colour feature fusion in quantum-classical stack ensemble improves breast cancer classification.
• RS3Mamba, a novel visual state space model, enhances remote sensing images' semantic segmentation.
• TSNet introduces a two-stage network for better generalization and artifact reduction in image dehazing.
• PartCrop, a unified membership inference method, evaluates privacy concerns in self-supervised learning models.
• VIAssist adapts multi-modal large language models to provide visual assistance for users with visual impairments.