nanase1025 / m-sam Goto Github PK
View Code? Open in Web Editor NEW👏Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic Segmentation[MICCAI 2024]
License: Apache License 2.0
👏Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic Segmentation[MICCAI 2024]
License: Apache License 2.0
First of all, this is excellent work—thank you for sharing it with the community. However, I have a few questions regarding the model's workflow that I'm hoping you could clarify:
Point Prompt during Training: Are the provided point prompts during training generated randomly, or are they based on the ground truth (GT)? Additionally, are point prompts required during the inference process as well?
Mask Embedding Generation: Could you please explain how the Mask Embedding is generated?
Memory Requirements: What is the approximate GPU memory requirement for running the model?
Thank you in advance for your assistance!
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