YOLACT++: Better Real-time Instance Segmentation

3 Dec 2019Daniel BolyaChong ZhouFanyi XiaoYong Jae Lee

We present a simple, fully-convolutional model for real-time (>30 fps) instance segmentation that achieves competitive results on MS COCO evaluated on a single Titan Xp, which is significantly faster than any previous state-of-the-art approach. Moreover, we obtain this result after training on only one GPU... (read more)

PDF Abstract

Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK LEADERBOARD
Instance Segmentation COCO test-dev YOLACT-550++ (ResNet-101-FPN) mask AP 34.6% # 20
AP50 53.8% # 16
AP75 36.9% # 12
APS 11.9% # 16
APM 36.8% # 12
APL 55.1% # 5
Real-time Instance Segmentation MSCOCO YOLACT-550++ (ResNet-101-FPN) AP 34.6 # 4
Frame (fps) 27.3 # 4