✨UnSAMv2: Self-Supervised Learning Enables Segment Anything at Any Granularity
📝 Summary:
UnSAMv2 enables continuous segmentation granularity control for the SAM model without human annotations. It uses self-supervised learning on unlabeled data to discover mask-granularity pairs and a novel control embedding. UnSAMv2 significantly enhances SAM-2s performance across various segmentati...
🔹 Publication Date: Published on Nov 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.13714
• PDF: https://arxiv.org/pdf/2511.13714
• Project Page: https://yujunwei04.github.io/UnSAMv2-Project-Page/
• Github: https://github.com/yujunwei04/UnSAMv2
✨ Spaces citing this paper:
• https://huggingface.co/spaces/yujunwei04/UnSAMv2
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#AI #ComputerVision #SelfSupervisedLearning #ImageSegmentation #DeepLearning
📝 Summary:
UnSAMv2 enables continuous segmentation granularity control for the SAM model without human annotations. It uses self-supervised learning on unlabeled data to discover mask-granularity pairs and a novel control embedding. UnSAMv2 significantly enhances SAM-2s performance across various segmentati...
🔹 Publication Date: Published on Nov 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.13714
• PDF: https://arxiv.org/pdf/2511.13714
• Project Page: https://yujunwei04.github.io/UnSAMv2-Project-Page/
• Github: https://github.com/yujunwei04/UnSAMv2
✨ Spaces citing this paper:
• https://huggingface.co/spaces/yujunwei04/UnSAMv2
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#AI #ComputerVision #SelfSupervisedLearning #ImageSegmentation #DeepLearning