YOLACT: Real-time Instance Segmentation

4 Apr 2019Daniel BolyaChong ZhouFanyi XiaoYong Jae Lee

We present a simple, fully-convolutional model for real-time instance segmentation that achieves 29.8 mAP on MS COCO at 33 fps evaluated on a single Titan Xp, which is significantly faster than any previous competitive approach. Moreover, we obtain this result after training on only one GPU... (read more)

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Evaluation results from the paper

Task Dataset Model Metric name Metric value Global rank Compare
Instance Segmentation COCO YOLACT Average Precision 29.8% # 9
Real-time Instance Segmentation MSCOCO YOLACT MAP 29.8 # 1