ESSCNet

Reported on 6 benchmarks across 3 tasks · 1 paper

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

Methodology4 results

3D ReconstructiononNYUv2
mIoU· 2019-07-11
26.7
best: 55.4 (SG-SSC)
Efficient Semantic Scene Completion Network with Spatial Group Convolution arXiv:1907.05091
3D ReconstructiononSemanticKITTI
mIoU· 2019-07-11
17.5
best: 37.9 (TALoS)
Efficient Semantic Scene Completion Network with Spatial Group Convolution arXiv:1907.05091
3DonNYUv2
mIoU· 2019-07-11
26.7
best: 55.4 (SG-SSC)
Efficient Semantic Scene Completion Network with Spatial Group Convolution arXiv:1907.05091
3DonSemanticKITTI
mIoU· 2019-07-11
17.5
best: 37.9 (TALoS)
Efficient Semantic Scene Completion Network with Spatial Group Convolution arXiv:1907.05091

Computer Vision2 results

3D Semantic Scene CompletiononNYUv2
mIoU· 2019-07-11
26.7
best: 55.4 (SG-SSC)
Efficient Semantic Scene Completion Network with Spatial Group Convolution arXiv:1907.05091
3D Semantic Scene CompletiononSemanticKITTI
mIoU· 2019-07-11
17.5
best: 37.9 (TALoS)
Efficient Semantic Scene Completion Network with Spatial Group Convolution arXiv:1907.05091