TwinLiteNet: An Efficient and Lightweight Model for Driveable Area and Lane Segmentation in Self-Driving Cars
Open paper
Benchmark
Model
Rank
Results
drivable-area-detection-on-bdd100k-val
TwinLiteNet
#6
mIoU: 91.3
Params (M): 0.43
lane-detection-on-bdd100k-val
TwinLiteNet
#4
IoU (%): 31.08
Accuracy (%): 77.8
Params (M): 0.43
Rank counts only results with a code link.