SAM-Sode refines explanation maps for tiny bacteria detection by converting them into prompts for the SAM3 model and applying physical and geometric dual constraints to suppress background noise.
In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
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SAM-Sode: Towards Faithful Explanations for Tiny Bacteria Detection
SAM-Sode refines explanation maps for tiny bacteria detection by converting them into prompts for the SAM3 model and applying physical and geometric dual constraints to suppress background noise.