GFSR introduces LCC for geometric fidelity calibration via LaneIoU and CRI, plus AGLR for gated point refinement, reporting SOTA F1 scores of 81.46% and 65.01% on CULane and 87.35% on CurveLanes.
Condlanenet: a top-to-down lane detection framework based on conditional convolution
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GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection
GFSR introduces LCC for geometric fidelity calibration via LaneIoU and CRI, plus AGLR for gated point refinement, reporting SOTA F1 scores of 81.46% and 65.01% on CULane and 87.35% on CurveLanes.