Meta has released the EfficientSAM model, which aims to reduce the computational complexity of the SAM model, achieving a 20x speed improvement and a 20x reduction in parameters. EfficientSAM introduces the SAMI pre-training method, which effectively learns to reconstruct features from the SAM image encoder, enabling efficient visual representation learning. Comprehensive evaluations across multiple visual tasks indicate that EfficientSAM outperforms other fast SAM models in image classification, object detection, instance segmentation, and more.