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arXiv Computer Vision research summaries for February 06, 2024.
Today's Research Themes (AI-Generated):
• Introduction of a fine-grained ship instance segmentation dataset (SISP) and dynamic feature refinement network for satellite imagery.
• Attention-based shape and gait learning framework (ASGL) enhances video-based cloth-changing person re-identification.
• Rig3DGS proposes a new method for creating controllable 3D portraits from monocular videos.
• AoSRNet integrates multi-knowledge to recover scenes from low-visibility images.
• Reinforcement learning from AI feedback (RLAIF) improves video and text multimodal alignment in large models.
arXiv Computer Vision research summaries for February 06, 2024.
Today's Research Themes (AI-Generated):
• Introduction of a fine-grained ship instance segmentation dataset (SISP) and dynamic feature refinement network for satellite imagery.
• Attention-based shape and gait learning framework (ASGL) enhances video-based cloth-changing person re-identification.
• Rig3DGS proposes a new method for creating controllable 3D portraits from monocular videos.
• AoSRNet integrates multi-knowledge to recover scenes from low-visibility images.
• Reinforcement learning from AI feedback (RLAIF) improves video and text multimodal alignment in large models.