SAM-Adapter-PyTorch
The SAM-Adapter-PyTorch project improves segmentation in difficult scenarios, including camouflage, shadows, and medical images, using the SAM2-Adapter. It supports diverse datasets and GPU configurations, emphasizing adaptability. The integration of SAM2 as a backbone boosts performance and application scope. Access to pre-trained models and thorough dataset links provides a solid research foundation, advancing versatile segmentation solutions.
