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We present a simple, fully-convolutional model for real-time instance segmentation that achieves 29.8 mAP on MS COCO at 33.5 fps evaluated on a single Titan Xp, which is significantly faster than any previous competitive approach.
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Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Instancecut: from edges to instances with multicut
Alexander Kirillov, Evgeny Levinkov, Bjoern Andres, Bogdan Savchynskyy, and Carsten Rother · 2017
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Fully convolutional instance-aware semantic segmentation
Yi Li, Haozhi Qi, Jifeng Dai, Xiangyang Ji, and Yichen Wei · 2017
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Feature pyramid networks for object detection
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie · 2017
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Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
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Alejandro Newell, Zhiao Huang, and Jia Deng · 2017
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Retinamask: Learning to predict masks improves state-of-the-art single-shot detection for free
Cheng-Yang Fu, Mykhailo Shvets, and Alexander C Berg · 2019
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