DDRNet.pytorch
chenjun2hao
This is the unofficial code of Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes. which achieve state-of-the-art trade-off between accuracy and speed on cityscapes and camvid, without using inference acceleration and extra data
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8 data points · 2021-08-01 → 2026-04-01How do you feel about this project?
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Question copied to clipboardWhat is the chenjun2hao/DDRNet.pytorch GitHub project? Description: "This is the unofficial code of Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes. which achieve state-of-the-art trade-off between accuracy and speed on cityscapes and camvid, without using inference acceleration and extra data". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
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