Facebook contributes to MLPerf, open-sources Mask R-CNN2Go

Facebook contributes to the MLPerf initiative by providing reference implementations for ShuffleNet (image classification) and Mask R-CNN2Go (pose estimation) for the Edge Inference category. They are open-sourcing Mask R-CNN2Go, a computer vision model optimized for embedded and mobile devices, enabling object detection, classification, person segmentation, and body pose estimation for real-time inference. Mask R-CNN2Go currently runs on Caffe2 with plans for PyTorch 1.0 support and is used for AR effects like hand tracking.