EfficientSAM
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Paper summary
Meta's EfficientSAM is a lightweight Segment Anything variant that preserves most of SAM's zero-shot quality at a fraction of the compute.
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01
Masked autoencoder pretraining: Uses a SAMI (SAM-leveraged masked image) pretraining objective where a small student learns to reconstruct features aligned with the SAM teacher.
02
20x smaller and faster: Achieves roughly 20x fewer parameters and 20x faster runtime than the original SAM image encoder.
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Near-parity quality: 44.4 AP vs. 46.5 AP on zero-shot instance segmentation (within 2 points) despite the dramatic efficiency win.
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Deployment-ready: Makes SAM-grade segmentation feasible on commodity hardware, consumer devices, and real-time applications where the original SAM is too heavy.