NYU
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
NYU v2
1.1RMSE (4x)
12
NYU v1 (test)
15.1Ceiling Error
12
NYU v1 (test)
92.1Precision
12
NYU v2 (test)
51.15PQ
12
NYUv2 13-class labeling
78.3Accuracy
12
NYU kinect depth map (test)
0Error (Ceiling)
12
NYU v2
93.5Delta 1 Accuracy
11
NYU v2
3.35RMSE (x4)
11
NYU v2
51.26RMSE
10
Synthesized Compressed-NYU (test)
0.032MAE
10
NYUv2 x16 upsampling
67.5MSE
10
NYU x8 upsampling v2
19.6MSE
10
NYU x4 upsampling v2
6.45MSE
10
NYU (DSINE)
15.6Mean Angular Error
9
NYU v2
100Boundary δ1 Accuracy
9
NYU Sequence 3 v2 shuffled (test)
-3.96Delta T_b Error
9
NYUv2 Sequence 3 shuffled (test)
31.53Mean Angle Distance
9
NYU Sequence 3 v2 shuffled (test)
0.579Absolute Error
9
NYU Sequence 3 shuffled v2 (test)
41.84mIoU
9
NYU Sequence 2 shuffled v2 (test)
-27.11Delta T_b
9
NYU Sequence 2 v2 shuffled (test)
31.53Mean Angle Error
9
NYU Sequence 2 v2 shuffled (test)
0.579Absolute Error
9
NYU Sequence 2 v2 shuffled (test)
41.84mIoU
9
NYU v2 (test)
0.042Absolute Relative Error (AbsRel)
9
NYU v2 (test)
0.045AbsRel
9