SAMCL: Empowering SAM to Continually Learn from Dynamic Domains
SAMCL: Empowering SAM to Continually Learn from Dynamic Domains
Segment Anything Model (SAM) struggles with segmenting objects in the open world, especially across diverse and dynamic domains. Continual segmentation (CS) is a potential technique to solve this issue, but a significant obstacle is the intractable balance between previous domains (stability) and new domains (plasticity) during CS. Furthermore, how to …