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SotA/Computer Vision/Drivable Area Detection/BDD100K val

Drivable Area Detection on BDD100K val

Metric: mIoU (higher is better)

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#Model↕mIoU▼Extra DataPaperDate↕Code
1YOLOPv293.2NoYOLOPv2: Better, Faster, Stronger for Panoptic D...2022-08-24Code
2TwinLiteNetPlus-Large92.9NoTwinLiteNetPlus: A Stronger Model for Real-time ...2024-03-25Code
3TriLiteNet-base92.4No--Code
4TwinLiteNetPlus-Medium92NoTwinLiteNetPlus: A Stronger Model for Real-time ...2024-03-25Code
5YOLOP91.5NoYOLOP: You Only Look Once for Panoptic Driving P...2021-08-25Code
6TwinLiteNet91.3NoTwinLiteNet: An Efficient and Lightweight Model ...2023-07-20Code
7A-YOLOM(s)91NoYou Only Look at Once for Real-time and Generic ...2023-10-02Code
8TwinLiteNetPlus-Small90.6NoTwinLiteNetPlus: A Stronger Model for Real-time ...2024-03-25Code
9HybridNets90.5NoHybridNets: End-to-End Perception Network2022-03-17Code
10TwinLiteNetPlus-Nano87.3NoTwinLiteNetPlus: A Stronger Model for Real-time ...2024-03-25Code