GFF: Gated Fully Fusion for Semantic Segmentation

3 Apr 2019Xiangtai LiHoulong ZhaoLei HanYunhai TongKuiyuan Yang

Semantic segmentation generates comprehensive understanding of scenes through densely predicting the category for each pixel. High-level features from Deep Convolutional Neural Networks already demonstrate their effectiveness in semantic segmentation tasks, however the coarse resolution of high-level features often leads to inferior results for small/thin objects where detailed information is important... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Semantic Segmentation Cityscapes test Gated Fully Fusion Mean IoU (class) 82.3% # 15

Methods used in the Paper


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