COG+surface+context

Reported on 6 benchmarks across 6 tasks · 1 paper

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

Methodology4 results

3DonSUN-RGBD val
mAP@0.25· 2019-06-11
54.3
best: 69.7 (Point-GCC+TR3D+FF)
Clouds of Oriented Gradients for 3D Detection of Objects, Surfaces, and Indoor Scene Layouts arXiv:1906.04725
2D ClassificationonSUN-RGBD val
mAP@0.25· 2019-06-11
54.3
best: 69.7 (Point-GCC+TR3D+FF)
Clouds of Oriented Gradients for 3D Detection of Objects, Surfaces, and Indoor Scene Layouts arXiv:1906.04725
2D Object DetectiononSUN-RGBD val
mAP@0.25· 2019-06-11
54.3
best: 69.7 (Point-GCC+TR3D+FF)
Clouds of Oriented Gradients for 3D Detection of Objects, Surfaces, and Indoor Scene Layouts arXiv:1906.04725
16konSUN-RGBD val
mAP@0.25· 2019-06-11
54.3
best: 69.7 (Point-GCC+TR3D+FF)
Clouds of Oriented Gradients for 3D Detection of Objects, Surfaces, and Indoor Scene Layouts arXiv:1906.04725

Computer Vision2 results

Object DetectiononSUN-RGBD val
mAP@0.25· 2019-06-11
54.3
best: 69.7 (Point-GCC+TR3D+FF)
Clouds of Oriented Gradients for 3D Detection of Objects, Surfaces, and Indoor Scene Layouts arXiv:1906.04725
3D Object DetectiononSUN-RGBD val
mAP@0.25· 2019-06-11
54.3
best: 69.7 (Point-GCC+TR3D+FF)
Clouds of Oriented Gradients for 3D Detection of Objects, Surfaces, and Indoor Scene Layouts arXiv:1906.04725