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arXiv Computer Vision research summaries for May 14, 2024.
Today's Research Themes (AI-Generated):
• StraightPCF introduces a new deep learning method for point cloud filtering, offering faster surface convergence with fewer parameters.
• Cross-Dataset Generalization study enhances retinal lesions segmentation by combining datasets with different annotation levels.
• PINGU, employing nnUNet, advances in generalizable perivascular space segmentation, outperforming other methods, especially in basal ganglia.
• SqueezeTime proposes a lightweight and fast mobile video understanding network with a novel temporal modeling channel-time learning block.
• WaterMamba, a state space model with spatial-channel omnidirectional selective scan blocks, pushes underwater image enhancement forward.
arXiv Computer Vision research summaries for May 14, 2024.
Today's Research Themes (AI-Generated):
• StraightPCF introduces a new deep learning method for point cloud filtering, offering faster surface convergence with fewer parameters.
• Cross-Dataset Generalization study enhances retinal lesions segmentation by combining datasets with different annotation levels.
• PINGU, employing nnUNet, advances in generalizable perivascular space segmentation, outperforming other methods, especially in basal ganglia.
• SqueezeTime proposes a lightweight and fast mobile video understanding network with a novel temporal modeling channel-time learning block.
• WaterMamba, a state space model with spatial-channel omnidirectional selective scan blocks, pushes underwater image enhancement forward.