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Models/Floors are Flat

Floors are Flat

Reported on 11 benchmarks across 3 tasks · 1 paper · 11 SOTA

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

Computer Vision9 results

Surface Normals EstimationonScanNetV2
% < 11.25· 2019-06-16
50.9
best: 77.8 (Metric3Dv2 (g2, In-domain))
SOTA
Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction arXiv:1906.06792
Surface Normals EstimationonScanNetV2
% < 22.5· 2019-06-16
65.2
best: 90.1 (Metric3Dv2 (g2, In-domain))
SOTA
Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction arXiv:1906.06792
Surface Normals EstimationonScanNetV2
% < 30· 2019-06-16
70
best: 93.5 (Metric3Dv2 (g2, In-domain))
SOTA
Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction arXiv:1906.06792
Surface Normals EstimationonScanNetV2
Mean Angle Error· 2019-06-16
28
best: 9.2 (Metric3Dv2 (g2, In-domain))
SOTA
Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction arXiv:1906.06792
Surface Normals EstimationonNYU Depth v2
% < 11.25· 2019-06-16
59.5
best: 68.8 (Metric3Dv2(L, FT))
SOTA
Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction arXiv:1906.06792
Surface Normals EstimationonNYU Depth v2
% < 22.5· 2019-06-16
72.2
best: 84.9 (Metric3Dv2(L, FT))
SOTA
Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction arXiv:1906.06792
Surface Normals EstimationonNYU Depth v2
% < 30· 2019-06-16
77.3
best: 89.8 (Metric3Dv2(L, FT))
SOTA
Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction arXiv:1906.06792
Surface Normals EstimationonNYU Depth v2
Mean Angle Error· 2019-06-16
19.7
best: 12 (Metric3Dv2(L, FT))
SOTA
Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction arXiv:1906.06792
Surface Normals EstimationonNYU Depth v2
RMSE· 2019-06-16
19.3
best: 19.2 (Metric3Dv2(L, FT))
SOTA
Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction arXiv:1906.06792

Medical1 result

Semantic SegmentationonScanNetV2
Pixel Accuracy· 2019-06-16
65.6
SOTA
Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction arXiv:1906.06792

Audio1 result

10-shot image generationonScanNetV2
Pixel Accuracy· 2019-06-16
65.6
SOTA
Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction arXiv:1906.06792