Lane Detection on TuSimple (test) (Robustness Evaluation) benchmark leaderboard · SOTA2 Research

Lane Detection on TuSimple (test) (Robustness Evaluation)

96.87Accuracy (Benign)BadNets

Evaluation Results

Method	Links
BadNets2025.08		96.87	95.46	50.34	—	52.98	51.66
Blended2025.08		96.87	95.1	56.27	—	59.12	57.7
LD-Attack2025.08		96.87	96.35	53.24	—	66.32	59.78
BadLANE2025.08		96.87	96.29	59.17	—	67.48	63.33
DBALD2025.08		96.87	96.61	89.24	—	72.07	80.66
BadNets2025.08		96.81	95.53	45.62	—	75.63	60.63
Blended2025.08		96.81	96.27	46.31	—	72.47	59.39
LD-Attack2025.08		96.81	96.21	88.17	—	90.27	89.22
BadLANE2025.08		96.81	96.18	89.25	—	89.76	89.51
DBALD2025.08		96.81	95.72	90.04	—	91.63	90.84
BadNets2025.08		96.81	96.63	64.78	—	73.46	69.12
Blended2025.08		96.81	96.65	68.11	—	57.28	62.7
LD-Attack2025.08		96.81	96.67	92.53	—	92.04	92.29
BadLANE2025.08		96.81	96.42	92.47	—	91.19	91.83
DBALD2025.08		96.81	96.67	96.57	—	94.28	95.43
BadNets2025.08		93.78	91.56	64.72	—	62.79	63.76
Blended2025.08		93.78	91.37	58.3	—	64.13	61.22
LD-Attack2025.08		93.78	92.23	94.08	—	91.43	92.76
BadLane2025.08		93.78	90.89	92.19	—	88.57	90.38
DBALD2025.08		93.78	92.28	95.78	—	91.29	93.54