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Models/MLCVNet

MLCVNet

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

3DonARKitScenes
mAP@0.25· 2020-04-12
41.9
best: 61.3 (UniDet3D)
SOTA
MLCVNet: Multi-Level Context VoteNet for 3D Object Detection arXiv:2004.05679
2D ClassificationonARKitScenes
mAP@0.25· 2020-04-12
41.9
best: 61.3 (UniDet3D)
SOTA
MLCVNet: Multi-Level Context VoteNet for 3D Object Detection arXiv:2004.05679
2D Object DetectiononARKitScenes
mAP@0.25· 2020-04-12
41.9
best: 61.3 (UniDet3D)
SOTA
MLCVNet: Multi-Level Context VoteNet for 3D Object Detection arXiv:2004.05679
16konARKitScenes
mAP@0.25· 2020-04-12
41.9
best: 61.3 (UniDet3D)
SOTA
MLCVNet: Multi-Level Context VoteNet for 3D Object Detection arXiv:2004.05679

Computer Vision2 results

Object DetectiononARKitScenes
mAP@0.25· 2020-04-12
41.9
best: 61.3 (UniDet3D)
SOTA
MLCVNet: Multi-Level Context VoteNet for 3D Object Detection arXiv:2004.05679
3D Object DetectiononARKitScenes
mAP@0.25· 2020-04-12
41.9
best: 61.3 (UniDet3D)
SOTA
MLCVNet: Multi-Level Context VoteNet for 3D Object Detection arXiv:2004.05679