[Adam] didn’t have to train a neural network, either–he found a pre-trained Mask R-CNN model with data for 80 common objects like people, animals, and cars.

Recent advances in instance segmentation, driven primarily by the success of R-CNN, have relied upon sequential (cascaded) prediction of segmentation and classification labels. This paper, on the ...