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Models/PerspectiveNet

PerspectiveNet

Reported on 6 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.

Methodology4 results

3DonSUN RGB-D
AP@0.15 (10 / PNet-30)· 2019-12-16
39.09
best: 48.74 (ImVoxelNet)
SOTA
PerspectiveNet: 3D Object Detection from a Single RGB Image via Perspective Points arXiv:1912.07744
2D ClassificationonSUN RGB-D
AP@0.15 (10 / PNet-30)· 2019-12-16
39.09
best: 48.74 (ImVoxelNet)
SOTA
PerspectiveNet: 3D Object Detection from a Single RGB Image via Perspective Points arXiv:1912.07744
2D Object DetectiononSUN RGB-D
AP@0.15 (10 / PNet-30)· 2019-12-16
39.09
best: 48.74 (ImVoxelNet)
SOTA
PerspectiveNet: 3D Object Detection from a Single RGB Image via Perspective Points arXiv:1912.07744
16konSUN RGB-D
AP@0.15 (10 / PNet-30)· 2019-12-16
39.09
best: 48.74 (ImVoxelNet)
SOTA
PerspectiveNet: 3D Object Detection from a Single RGB Image via Perspective Points arXiv:1912.07744

Computer Vision2 results

Object DetectiononSUN RGB-D
AP@0.15 (10 / PNet-30)· 2019-12-16
39.09
best: 48.74 (ImVoxelNet)
SOTA
PerspectiveNet: 3D Object Detection from a Single RGB Image via Perspective Points arXiv:1912.07744
3D Object DetectiononSUN RGB-D
AP@0.15 (10 / PNet-30)· 2019-12-16
39.09
best: 48.74 (ImVoxelNet)
SOTA
PerspectiveNet: 3D Object Detection from a Single RGB Image via Perspective Points arXiv:1912.07744