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Models/ImVoxelNet

ImVoxelNet

Reported on 51 benchmarks across 7 tasks · 2 papers · 6 SOTA

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

Methodology32 results

3DonSUN RGB-D
AP@0.15 (10 / PNet-30)· 2021-06-02
48.74
SOTA
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178
2D ClassificationonSUN RGB-D
AP@0.15 (10 / PNet-30)· 2021-06-02
48.74
SOTA
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178
2D Object DetectiononSUN RGB-D
AP@0.15 (10 / PNet-30)· 2021-06-02
48.74
SOTA
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178
16konSUN RGB-D
AP@0.15 (10 / PNet-30)· 2021-06-02
48.74
SOTA
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178
3DonAria Everyday Objects
mAP· 2024-06-14
15
best: 22 (EVL)
EFM3D: A Benchmark for Measuring Progress Towards 3D Egocentric Foundation Models arXiv:2406.10224
3DonAria Synthetic Environments
MAP· 2024-06-14
64
best: 75 (EVL)
EFM3D: A Benchmark for Measuring Progress Towards 3D Egocentric Foundation Models arXiv:2406.10224
2D ClassificationonAria Everyday Objects
mAP· 2024-06-14
15
best: 22 (EVL)
EFM3D: A Benchmark for Measuring Progress Towards 3D Egocentric Foundation Models arXiv:2406.10224
2D ClassificationonAria Synthetic Environments
MAP· 2024-06-14
64
best: 75 (EVL)
EFM3D: A Benchmark for Measuring Progress Towards 3D Egocentric Foundation Models arXiv:2406.10224
2D Object DetectiononAria Everyday Objects
mAP· 2024-06-14
15
best: 22 (EVL)
EFM3D: A Benchmark for Measuring Progress Towards 3D Egocentric Foundation Models arXiv:2406.10224
2D Object DetectiononAria Synthetic Environments
MAP· 2024-06-14
64
best: 75 (EVL)
EFM3D: A Benchmark for Measuring Progress Towards 3D Egocentric Foundation Models arXiv:2406.10224
16konAria Everyday Objects
mAP· 2024-06-14
15
best: 22 (EVL)
EFM3D: A Benchmark for Measuring Progress Towards 3D Egocentric Foundation Models arXiv:2406.10224
16konAria Synthetic Environments
MAP· 2024-06-14
64
best: 75 (EVL)
EFM3D: A Benchmark for Measuring Progress Towards 3D Egocentric Foundation Models arXiv:2406.10224
3DonDAIR-V2X-I
AP|R40(easy)· 2021-06-02
44.8
best: 90.92 (MonoUNI)
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178
3DonDAIR-V2X-I
AP|R40(hard)· 2021-06-02
37.6
best: 87.2 (MonoUNI)
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178
3DonDAIR-V2X-I
AP|R40(moderate)· 2021-06-02
37.6
best: 87.2 (MonoUNI)
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178
3DonSUN RGB-D
AP@0.15 (10 / NYU-37)· 2021-06-02
42.69
best: 45.21 (IM3D)
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178
3DonSUN RGB-D
AP@0.15 (NYU-37)· 2021-06-02
21.08
best: 24.1 (IM3D)
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178
2D ClassificationonDAIR-V2X-I
AP|R40(easy)· 2021-06-02
44.8
best: 90.92 (MonoUNI)
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178
2D ClassificationonDAIR-V2X-I
AP|R40(hard)· 2021-06-02
37.6
best: 87.2 (MonoUNI)
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178
2D ClassificationonDAIR-V2X-I
AP|R40(moderate)· 2021-06-02
37.6
best: 87.2 (MonoUNI)
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178
2D ClassificationonSUN RGB-D
AP@0.15 (10 / NYU-37)· 2021-06-02
42.69
best: 45.21 (IM3D)
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178
2D ClassificationonSUN RGB-D
AP@0.15 (NYU-37)· 2021-06-02
21.08
best: 24.1 (IM3D)
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178
2D Object DetectiononDAIR-V2X-I
AP|R40(easy)· 2021-06-02
44.8
best: 90.92 (MonoUNI)
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178
2D Object DetectiononDAIR-V2X-I
AP|R40(hard)· 2021-06-02
37.6
best: 87.2 (MonoUNI)
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178
2D Object DetectiononDAIR-V2X-I
AP|R40(moderate)· 2021-06-02
37.6
best: 87.2 (MonoUNI)
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178
2D Object DetectiononSUN RGB-D
AP@0.15 (10 / NYU-37)· 2021-06-02
42.69
best: 45.21 (IM3D)
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178
2D Object DetectiononSUN RGB-D
AP@0.15 (NYU-37)· 2021-06-02
21.08
best: 24.1 (IM3D)
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178
16konDAIR-V2X-I
AP|R40(easy)· 2021-06-02
44.8
best: 90.92 (MonoUNI)
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178
16konDAIR-V2X-I
AP|R40(hard)· 2021-06-02
37.6
best: 87.2 (MonoUNI)
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178
16konDAIR-V2X-I
AP|R40(moderate)· 2021-06-02
37.6
best: 87.2 (MonoUNI)
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178
16konSUN RGB-D
AP@0.15 (10 / NYU-37)· 2021-06-02
42.69
best: 45.21 (IM3D)
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178
16konSUN RGB-D
AP@0.15 (NYU-37)· 2021-06-02
21.08
best: 24.1 (IM3D)
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178

Computer Vision19 results

Object DetectiononSUN RGB-D
AP@0.15 (10 / PNet-30)· 2021-06-02
48.74
SOTA
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178
3D Object DetectiononSUN RGB-D
AP@0.15 (10 / PNet-30)· 2021-06-02
48.74
SOTA
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178
Object DetectiononAria Everyday Objects
mAP· 2024-06-14
15
best: 22 (EVL)
EFM3D: A Benchmark for Measuring Progress Towards 3D Egocentric Foundation Models arXiv:2406.10224
Object DetectiononAria Synthetic Environments
MAP· 2024-06-14
64
best: 75 (EVL)
EFM3D: A Benchmark for Measuring Progress Towards 3D Egocentric Foundation Models arXiv:2406.10224
3D Object DetectiononAria Everyday Objects
mAP· 2024-06-14
15
best: 22 (EVL)
EFM3D: A Benchmark for Measuring Progress Towards 3D Egocentric Foundation Models arXiv:2406.10224
3D Object DetectiononAria Synthetic Environments
MAP· 2024-06-14
64
best: 75 (EVL)
EFM3D: A Benchmark for Measuring Progress Towards 3D Egocentric Foundation Models arXiv:2406.10224
Object DetectiononDAIR-V2X-I
AP|R40(easy)· 2021-06-02
44.8
best: 90.92 (MonoUNI)
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178
Object DetectiononDAIR-V2X-I
AP|R40(hard)· 2021-06-02
37.6
best: 87.2 (MonoUNI)
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178
Object DetectiononDAIR-V2X-I
AP|R40(moderate)· 2021-06-02
37.6
best: 87.2 (MonoUNI)
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178
Object DetectiononSUN RGB-D
AP@0.15 (10 / NYU-37)· 2021-06-02
42.69
best: 45.21 (IM3D)
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178
Object DetectiononSUN RGB-D
AP@0.15 (NYU-37)· 2021-06-02
21.08
best: 24.1 (IM3D)
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178
3D Object DetectiononDAIR-V2X-I
AP|R40(easy)· 2021-06-02
44.8
best: 90.92 (MonoUNI)
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178
3D Object DetectiononDAIR-V2X-I
AP|R40(hard)· 2021-06-02
37.6
best: 87.2 (MonoUNI)
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178
3D Object DetectiononDAIR-V2X-I
AP|R40(moderate)· 2021-06-02
37.6
best: 87.2 (MonoUNI)
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178
3D Object DetectiononSUN RGB-D
AP@0.15 (10 / NYU-37)· 2021-06-02
42.69
best: 45.21 (IM3D)
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178
3D Object DetectiononSUN RGB-D
AP@0.15 (NYU-37)· 2021-06-02
21.08
best: 24.1 (IM3D)
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178
Room Layout EstimationonSUN RGB-D
Camera Pitch· 2021-06-02
2.63
best: 7.6 (Holistic)
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178
Room Layout EstimationonSUN RGB-D
Camera Roll· 2021-06-02
1.96
best: 3.12 (Holistic)
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178
Room Layout EstimationonSUN RGB-D
IoU· 2021-06-02
59.3
best: 64.4 (IM3D)
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection arXiv:2106.01178