DFANet: Deep Feature Aggregation

旷视新提出的语义分割paper，主要着力点在速度提升上（it achieves 70.3% Mean IOU on the Cityscapes test dataset with only 1.7 GFLOPs and a speed of 160 FPS on one NVIDIA Titan X card, and 71.3% Mean IOU with 3.4 GFLOPs while inferring on a higher resolution image。采用了新的特征聚合方式，sub-network,sub-stage聚合，轻量，且效果不错。github上也有非官方代码复现。

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