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SotA/Robots/Autonomous Vehicles/BDD100K val

Autonomous Vehicles on BDD100K val

Metric: Accuracy (%) (higher is better)

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#Model↕Accuracy (%)▼Extra DataPaperDate↕Code
1YOLOPv287.8NoYOLOPv2: Better, Faster, Stronger for Panoptic D...2022-08-24Code
2HybridNets85.4NoHybridNets: End-to-End Perception Network2022-03-17Code
3A-YOLOM(s)84.9NoYou Only Look at Once for Real-time and Generic ...2023-10-02Code
4TriLiteNet-base82.3No--Code
5TwinLiteNetPlus-Large81.9NoTwinLiteNetPlus: A Stronger Model for Real-time ...2024-03-25Code
6TwinLiteNetPlus-Medium79.1NoTwinLiteNetPlus: A Stronger Model for Real-time ...2024-03-25Code
7TwinLiteNet77.8NoTwinLiteNet: An Efficient and Lightweight Model ...2023-07-20Code
8TwinLiteNetPlus-Small75.8NoTwinLiteNetPlus: A Stronger Model for Real-time ...2024-03-25Code
9YOLOP70.5NoYOLOP: You Only Look Once for Panoptic Driving P...2021-08-25Code
10TwinLiteNetPlus-Nano70.2NoTwinLiteNetPlus: A Stronger Model for Real-time ...2024-03-25Code
11Enet-SAD36.6NoLearning Lightweight Lane Detection CNNs by Self...2019-08-02Code