← Lane Detection

Papers with Code · CC BY-SA 4.0

CurveLanes

아카이브 평가 19건 · 마지막 적재/변경 2026-10-30

원본 데이터셋 링크 1

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델	원본 지표·값	논문	구현
CondLSTR (ResNet-101)	F1 score 88.47	Generating Dynamic Kernels via Transformers for Lane Detection 2023-01-01	코드 1
CondLSTR (ResNet-34)	F1 score 88.23	Generating Dynamic Kernels via Transformers for Lane Detection 2023-01-01	코드 1
CondLSTR (ResNet-18)	F1 score 87.99	Generating Dynamic Kernels via Transformers for Lane Detection 2023-01-01	코드 1
CANet-L	F1 score 87.87 Precision 91.69	CANet: Curved Guide Line Network with Adaptive Decoder for Lane Detection 2023-04-23	연결 없음
CLRNetV2 (ResNet101)	F1 score 87.81	CLRNetV2: A Faster and Stronger Lane Detector 2025-03-18	연결 없음
CANet-M	F1 score 87.19 Precision 91.53 Recall 83.25 GFLOPs 22.6	CANet: Curved Guide Line Network with Adaptive Decoder for Lane Detection 2023-04-23	연결 없음
CANet-S	F1 score 86.57 Precision 91.37 Recall 82.25 GFLOPs 13.1	CANet: Curved Guide Line Network with Adaptive Decoder for Lane Detection 2023-04-23	연결 없음
CLRerNet-DLA34	F1 score 86.47 Precision 91.66 Recall 81.83 GFLOPs 18.4	CLRerNet: Improving Confidence of Lane Detection with LaneIoU 2023-05-15	코드 1 · 코드 2
CLRNet-DLA34	F1 score 86.1 Precision 91.4 Recall 81.39 GFLOPs 18.4	CLRerNet: Improving Confidence of Lane Detection with LaneIoU 2023-05-15	코드 1 · 코드 2
CondLaneNet-L(ResNet-101)	F1 score 86.10 Precision 88.98 Recall 83.41 GFLOPs 44.9 FPS 48	CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution 2021-05-11	코드 1 · 코드 2 · 코드 3 · 코드 4
CondLaneNet-M(ResNet-34)	F1 score 85.92 Precision 88.29 Recall 83.68 GFLOPs 19.7 FPS 109	CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution 2021-05-11	코드 1 · 코드 2 · 코드 3 · 코드 4
CondLaneNet-S(ResNet-18)	F1 score 85.09 Precision 87.75 Recall 82.58 GFLOPs 10.3 FPS 154	CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution 2021-05-11	코드 1 · 코드 2 · 코드 3 · 코드 4
CurveLane-L	F1 score 82.29 Precision 91.11 Recall 75.03 GFLOPs 20.7	CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending 2020-07-23	코드 1
CurveLane-M	F1 score 81.8 Precision 93.49 Recall 72.71 GFLOPs 11.6	CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending 2020-07-23	코드 1
CurveLane-S	F1 score 81.12 Precision 93.58 Recall 71.59 GFLOPs 7.4	CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending 2020-07-23	코드 1
PointLaneNet	F1 score 78.47 Precision 86.33 Recall 72.91 GFLOPs 14.8	CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending 2020-07-23	코드 1
SCNN	F1 score 65.02 Precision 76.13 Recall 56.74 GFLOPs 328.4	CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending 2020-07-23	코드 1
Enet-SAD	F1 score 50.31 Precision 63.6 Recall 41.6 GFLOPs 3.9	CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending 2020-07-23	코드 1
CANet-L(ResNet101)	Recall 84.36 GFLOPs 45.7	CANet: Curved Guide Line Network with Adaptive Decoder for Lane Detection 2023-04-23	연결 없음