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cs.CV2025
Anatomy-Aware Text-Visual Fusion with Dual-Perspective Prompts for Fine-Grained Lumbar Spine Segmentation
Sheng Lian, Jianlong Cai, Dengfeng Pan +5
Accurate lumbar spine segmentation is crucial for diagnosing spinal disorders. Existing methods typically use coarse-grained segmentation strategies that lack the fine detail neede…
cs.CV2018
Leveraging Virtual and Real Person for Unsupervised Person Re-identification
Fengxiang Yang, Zhun Zhong, Zhiming Luo +2
Person re-identification (re-ID) is a challenging problem especially when no labels are available for training. Although recent deep re-ID methods have achieved great improvement,…