2026
OILSAM2: MEMORY-AUGMENTED SAM2 FOR SCALABLE SAR OIL SPILL DETECTION
ICASSP 2026poster
Segmenting oil spills from Synthetic Aperture Radar (SAR) imagery remains challenging due to severe appearance variability, scale heterogeneity, and the absence of temporal continuity in real world monitoring scenarios. While foundation models such as Segment Anything (SAM) enable prompt driven segm…