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Models/BEVHeight

BEVHeight

Reported on 24 benchmarks across 6 tasks · 1 paper · 24 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology16 results

3DonRope3D
AP@0.7· 2023-03-15
45.73
best: 75.27 (MonoUNI)
SOTA
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection arXiv:2303.08498
3DonDAIR-V2X-I
AP|R40(easy)· 2023-03-15
77.8
best: 90.92 (MonoUNI)
SOTA
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection arXiv:2303.08498
3DonDAIR-V2X-I
AP|R40(hard)· 2023-03-15
65.9
best: 87.2 (MonoUNI)
SOTA
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection arXiv:2303.08498
3DonDAIR-V2X-I
AP|R40(moderate)· 2023-03-15
65.8
best: 87.2 (MonoUNI)
SOTA
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection arXiv:2303.08498
2D ClassificationonRope3D
AP@0.7· 2023-03-15
45.73
best: 75.27 (MonoUNI)
SOTA
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection arXiv:2303.08498
2D ClassificationonDAIR-V2X-I
AP|R40(easy)· 2023-03-15
77.8
best: 90.92 (MonoUNI)
SOTA
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection arXiv:2303.08498
2D ClassificationonDAIR-V2X-I
AP|R40(hard)· 2023-03-15
65.9
best: 87.2 (MonoUNI)
SOTA
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection arXiv:2303.08498
2D ClassificationonDAIR-V2X-I
AP|R40(moderate)· 2023-03-15
65.8
best: 87.2 (MonoUNI)
SOTA
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection arXiv:2303.08498
2D Object DetectiononRope3D
AP@0.7· 2023-03-15
45.73
best: 75.27 (MonoUNI)
SOTA
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection arXiv:2303.08498
2D Object DetectiononDAIR-V2X-I
AP|R40(easy)· 2023-03-15
77.8
best: 90.92 (MonoUNI)
SOTA
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection arXiv:2303.08498
2D Object DetectiononDAIR-V2X-I
AP|R40(hard)· 2023-03-15
65.9
best: 87.2 (MonoUNI)
SOTA
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection arXiv:2303.08498
2D Object DetectiononDAIR-V2X-I
AP|R40(moderate)· 2023-03-15
65.8
best: 87.2 (MonoUNI)
SOTA
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection arXiv:2303.08498
16konRope3D
AP@0.7· 2023-03-15
45.73
best: 75.27 (MonoUNI)
SOTA
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection arXiv:2303.08498
16konDAIR-V2X-I
AP|R40(easy)· 2023-03-15
77.8
best: 90.92 (MonoUNI)
SOTA
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection arXiv:2303.08498
16konDAIR-V2X-I
AP|R40(hard)· 2023-03-15
65.9
best: 87.2 (MonoUNI)
SOTA
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection arXiv:2303.08498
16konDAIR-V2X-I
AP|R40(moderate)· 2023-03-15
65.8
best: 87.2 (MonoUNI)
SOTA
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection arXiv:2303.08498

Computer Vision8 results

Object DetectiononRope3D
AP@0.7· 2023-03-15
45.73
best: 75.27 (MonoUNI)
SOTA
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection arXiv:2303.08498
Object DetectiononDAIR-V2X-I
AP|R40(easy)· 2023-03-15
77.8
best: 90.92 (MonoUNI)
SOTA
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection arXiv:2303.08498
Object DetectiononDAIR-V2X-I
AP|R40(hard)· 2023-03-15
65.9
best: 87.2 (MonoUNI)
SOTA
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection arXiv:2303.08498
Object DetectiononDAIR-V2X-I
AP|R40(moderate)· 2023-03-15
65.8
best: 87.2 (MonoUNI)
SOTA
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection arXiv:2303.08498
3D Object DetectiononRope3D
AP@0.7· 2023-03-15
45.73
best: 75.27 (MonoUNI)
SOTA
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection arXiv:2303.08498
3D Object DetectiononDAIR-V2X-I
AP|R40(easy)· 2023-03-15
77.8
best: 90.92 (MonoUNI)
SOTA
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection arXiv:2303.08498
3D Object DetectiononDAIR-V2X-I
AP|R40(hard)· 2023-03-15
65.9
best: 87.2 (MonoUNI)
SOTA
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection arXiv:2303.08498
3D Object DetectiononDAIR-V2X-I
AP|R40(moderate)· 2023-03-15
65.8
best: 87.2 (MonoUNI)
SOTA
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection arXiv:2303.08498