Meta's SAM 3.1 tracks 128 objects 7x faster
Meta just dropped SAM 3.1, adding a shared-memory approach called Object Multiplex to its visual segmentation model. It delivers roughly 7x faster inference when tracking 128 objects on a single H100 without dropping accuracy, beating prior scores on 6 out of 7 video benchmarks. The model checkpoints are available to request on Hugging Face.