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Models/BEVDepth

BEVDepth

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· 2022-06-21
42.56
best: 75.27 (MonoUNI)
SOTA
BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection arXiv:2206.10092
3DonDAIR-V2X-I
AP|R40(easy)· 2022-06-21
75.7
best: 90.92 (MonoUNI)
SOTA
BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection arXiv:2206.10092
3DonDAIR-V2X-I
AP|R40(hard)· 2022-06-21
63.7
best: 87.2 (MonoUNI)
SOTA
BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection arXiv:2206.10092
3DonDAIR-V2X-I
AP|R40(moderate)· 2022-06-21
63.6
best: 87.2 (MonoUNI)
SOTA
BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection arXiv:2206.10092
2D ClassificationonRope3D
AP@0.7· 2022-06-21
42.56
best: 75.27 (MonoUNI)
SOTA
BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection arXiv:2206.10092
2D ClassificationonDAIR-V2X-I
AP|R40(easy)· 2022-06-21
75.7
best: 90.92 (MonoUNI)
SOTA
BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection arXiv:2206.10092
2D ClassificationonDAIR-V2X-I
AP|R40(hard)· 2022-06-21
63.7
best: 87.2 (MonoUNI)
SOTA
BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection arXiv:2206.10092
2D ClassificationonDAIR-V2X-I
AP|R40(moderate)· 2022-06-21
63.6
best: 87.2 (MonoUNI)
SOTA
BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection arXiv:2206.10092
2D Object DetectiononRope3D
AP@0.7· 2022-06-21
42.56
best: 75.27 (MonoUNI)
SOTA
BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection arXiv:2206.10092
2D Object DetectiononDAIR-V2X-I
AP|R40(easy)· 2022-06-21
75.7
best: 90.92 (MonoUNI)
SOTA
BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection arXiv:2206.10092
2D Object DetectiononDAIR-V2X-I
AP|R40(hard)· 2022-06-21
63.7
best: 87.2 (MonoUNI)
SOTA
BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection arXiv:2206.10092
2D Object DetectiononDAIR-V2X-I
AP|R40(moderate)· 2022-06-21
63.6
best: 87.2 (MonoUNI)
SOTA
BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection arXiv:2206.10092
16konRope3D
AP@0.7· 2022-06-21
42.56
best: 75.27 (MonoUNI)
SOTA
BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection arXiv:2206.10092
16konDAIR-V2X-I
AP|R40(easy)· 2022-06-21
75.7
best: 90.92 (MonoUNI)
SOTA
BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection arXiv:2206.10092
16konDAIR-V2X-I
AP|R40(hard)· 2022-06-21
63.7
best: 87.2 (MonoUNI)
SOTA
BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection arXiv:2206.10092
16konDAIR-V2X-I
AP|R40(moderate)· 2022-06-21
63.6
best: 87.2 (MonoUNI)
SOTA
BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection arXiv:2206.10092

Computer Vision8 results

Object DetectiononRope3D
AP@0.7· 2022-06-21
42.56
best: 75.27 (MonoUNI)
SOTA
BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection arXiv:2206.10092
Object DetectiononDAIR-V2X-I
AP|R40(easy)· 2022-06-21
75.7
best: 90.92 (MonoUNI)
SOTA
BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection arXiv:2206.10092
Object DetectiononDAIR-V2X-I
AP|R40(hard)· 2022-06-21
63.7
best: 87.2 (MonoUNI)
SOTA
BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection arXiv:2206.10092
Object DetectiononDAIR-V2X-I
AP|R40(moderate)· 2022-06-21
63.6
best: 87.2 (MonoUNI)
SOTA
BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection arXiv:2206.10092
3D Object DetectiononRope3D
AP@0.7· 2022-06-21
42.56
best: 75.27 (MonoUNI)
SOTA
BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection arXiv:2206.10092
3D Object DetectiononDAIR-V2X-I
AP|R40(easy)· 2022-06-21
75.7
best: 90.92 (MonoUNI)
SOTA
BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection arXiv:2206.10092
3D Object DetectiononDAIR-V2X-I
AP|R40(hard)· 2022-06-21
63.7
best: 87.2 (MonoUNI)
SOTA
BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection arXiv:2206.10092
3D Object DetectiononDAIR-V2X-I
AP|R40(moderate)· 2022-06-21
63.6
best: 87.2 (MonoUNI)
SOTA
BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection arXiv:2206.10092