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SotA/Robots/Autonomous Vehicles/BDD100K val

Autonomous Vehicles on BDD100K val

Metric: IoU (%) (higher is better)

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#Model↕IoU (%)▼Extra DataPaperDate↕Code
1TwinLiteNetPlus-Large34.2NoTwinLiteNetPlus: A Stronger Model for Real-time ...2024-03-25Code
2TwinLiteNetPlus-Medium32.3NoTwinLiteNetPlus: A Stronger Model for Real-time ...2024-03-25Code
3HybridNets31.6NoHybridNets: End-to-End Perception Network2022-03-17Code
4TwinLiteNet31.08NoTwinLiteNet: An Efficient and Lightweight Model ...2023-07-20Code
5TriLiteNet-base29.8No--Code
6TwinLiteNetPlus-Small29.3NoTwinLiteNetPlus: A Stronger Model for Real-time ...2024-03-25Code
7A-YOLOM(s)28.8NoYou Only Look at Once for Real-time and Generic ...2023-10-02Code
8YOLOPv227.25NoYOLOPv2: Better, Faster, Stronger for Panoptic D...2022-08-24Code
9YOLOP26.2NoYOLOP: You Only Look Once for Panoptic Driving P...2021-08-25Code
10TwinLiteNetPlus-Nano23.3NoTwinLiteNetPlus: A Stronger Model for Real-time ...2024-03-25Code
11Enet-SAD16.02NoLearning Lightweight Lane Detection CNNs by Self...2019-08-02Code