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Models/MVXNet

MVXNet

Reported on 18 benchmarks across 6 tasks · 1 paper · 6 SOTA

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

Methodology12 results

3DonDAIR-V2X-I
AP|R40(easy)· 2019-04-02
71
best: 90.92 (MonoUNI)
SOTA
MVX-Net: Multimodal VoxelNet for 3D Object Detection arXiv:1904.01649
2D ClassificationonDAIR-V2X-I
AP|R40(easy)· 2019-04-02
71
best: 90.92 (MonoUNI)
SOTA
MVX-Net: Multimodal VoxelNet for 3D Object Detection arXiv:1904.01649
2D Object DetectiononDAIR-V2X-I
AP|R40(easy)· 2019-04-02
71
best: 90.92 (MonoUNI)
SOTA
MVX-Net: Multimodal VoxelNet for 3D Object Detection arXiv:1904.01649
16konDAIR-V2X-I
AP|R40(easy)· 2019-04-02
71
best: 90.92 (MonoUNI)
SOTA
MVX-Net: Multimodal VoxelNet for 3D Object Detection arXiv:1904.01649
3DonDAIR-V2X-I
AP|R40(hard)· 2019-04-02
53.8
best: 87.2 (MonoUNI)
MVX-Net: Multimodal VoxelNet for 3D Object Detection arXiv:1904.01649
3DonDAIR-V2X-I
AP|R40(moderate)· 2019-04-02
53.7
best: 87.2 (MonoUNI)
MVX-Net: Multimodal VoxelNet for 3D Object Detection arXiv:1904.01649
2D ClassificationonDAIR-V2X-I
AP|R40(hard)· 2019-04-02
53.8
best: 87.2 (MonoUNI)
MVX-Net: Multimodal VoxelNet for 3D Object Detection arXiv:1904.01649
2D ClassificationonDAIR-V2X-I
AP|R40(moderate)· 2019-04-02
53.7
best: 87.2 (MonoUNI)
MVX-Net: Multimodal VoxelNet for 3D Object Detection arXiv:1904.01649
2D Object DetectiononDAIR-V2X-I
AP|R40(hard)· 2019-04-02
53.8
best: 87.2 (MonoUNI)
MVX-Net: Multimodal VoxelNet for 3D Object Detection arXiv:1904.01649
2D Object DetectiononDAIR-V2X-I
AP|R40(moderate)· 2019-04-02
53.7
best: 87.2 (MonoUNI)
MVX-Net: Multimodal VoxelNet for 3D Object Detection arXiv:1904.01649
16konDAIR-V2X-I
AP|R40(hard)· 2019-04-02
53.8
best: 87.2 (MonoUNI)
MVX-Net: Multimodal VoxelNet for 3D Object Detection arXiv:1904.01649
16konDAIR-V2X-I
AP|R40(moderate)· 2019-04-02
53.7
best: 87.2 (MonoUNI)
MVX-Net: Multimodal VoxelNet for 3D Object Detection arXiv:1904.01649

Computer Vision6 results

Object DetectiononDAIR-V2X-I
AP|R40(easy)· 2019-04-02
71
best: 90.92 (MonoUNI)
SOTA
MVX-Net: Multimodal VoxelNet for 3D Object Detection arXiv:1904.01649
3D Object DetectiononDAIR-V2X-I
AP|R40(easy)· 2019-04-02
71
best: 90.92 (MonoUNI)
SOTA
MVX-Net: Multimodal VoxelNet for 3D Object Detection arXiv:1904.01649
Object DetectiononDAIR-V2X-I
AP|R40(hard)· 2019-04-02
53.8
best: 87.2 (MonoUNI)
MVX-Net: Multimodal VoxelNet for 3D Object Detection arXiv:1904.01649
Object DetectiononDAIR-V2X-I
AP|R40(moderate)· 2019-04-02
53.7
best: 87.2 (MonoUNI)
MVX-Net: Multimodal VoxelNet for 3D Object Detection arXiv:1904.01649
3D Object DetectiononDAIR-V2X-I
AP|R40(hard)· 2019-04-02
53.8
best: 87.2 (MonoUNI)
MVX-Net: Multimodal VoxelNet for 3D Object Detection arXiv:1904.01649
3D Object DetectiononDAIR-V2X-I
AP|R40(moderate)· 2019-04-02
53.7
best: 87.2 (MonoUNI)
MVX-Net: Multimodal VoxelNet for 3D Object Detection arXiv:1904.01649