الرئيسية الأخبار الأوراق البحثية الدروس مجموعات البيانات الموسوعة SOTA نماذج LLM لوحة الأداء GPU الفعاليات

العربية

Lane Detection On Curvelanes

المقاييس

F1 score

GFLOPs

Precision

Recall

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	F1 score	GFLOPs	Precision	Recall	Paper Title	Repository
CANet-S	86.57	13.1	91.37	82.25	CANet: Curved Guide Line Network with Adaptive Decoder for Lane Detection	-
CANet-M	87.19	22.6	91.53	83.25	CANet: Curved Guide Line Network with Adaptive Decoder for Lane Detection	-
Enet-SAD	50.31	3.9	63.6	41.6	CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending
CondLaneNet-L(ResNet-101)	86.10	44.9	88.98	83.41	CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution
CANet-L(ResNet101)	-	45.7	-	84.36	CANet: Curved Guide Line Network with Adaptive Decoder for Lane Detection	-
CLRNet-DLA34	86.1	18.4	91.4	81.39	CLRerNet: Improving Confidence of Lane Detection with LaneIoU
SCNN	65.02	328.4	76.13	56.74	CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending
CANet-L	87.87	-	91.69	-	CANet: Curved Guide Line Network with Adaptive Decoder for Lane Detection	-
CurveLane-S	81.12	7.4	93.58	71.59	CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending
CondLSTR (ResNet-101)	88.47	-	-	-	Generating Dynamic Kernels via Transformers for Lane Detection	-
CondLSTR (ResNet-18)	87.99	-	-	-	Generating Dynamic Kernels via Transformers for Lane Detection	-
CLRerNet-DLA34	86.47	18.4	91.66	81.83	CLRerNet: Improving Confidence of Lane Detection with LaneIoU
PointLaneNet	78.47	14.8	86.33	72.91	CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending
CurveLane-M	81.8	11.6	93.49	72.71	CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending
CondLaneNet-M(ResNet-34)	85.92	19.7	88.29	83.68	CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution
CondLSTR (ResNet-34)	88.23	-	-	-	Generating Dynamic Kernels via Transformers for Lane Detection	-
CurveLane-L	82.29	20.7	91.11	75.03	CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending
CondLaneNet-S(ResNet-18)	85.09	10.3	87.75	82.58	CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution

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