A repository for my 2020-2021 AP Research project.
-
Updated
Oct 13, 2021 - Python
A repository for my 2020-2021 AP Research project.
CASAM is a compositional segmentation framework built on top of SAM‑3. It introduces a modular orchestration pipeline that enhances segmentation via deterministic constraints (CASAM v1) and CLIP‑based learned scoring (CASAM v2), enabling language‑aware and compositional mask selection without fine‑tuning backbone models.
Add a description, image, and links to the compositional-segmentation topic page so that developers can more easily learn about it.
To associate your repository with the compositional-segmentation topic, visit your repo's landing page and select "manage topics."