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muses
DEPTHModel: UniDepthV2
Split: full
Variant:
_UniDepthV2_foggyFiles: 333
Metrics: 13
Compare with:
absrel / median
0.5886
absrel / p90
0.9939
absrel / median
0.5898
absrel / p90
0.9946
rmse / median
7.0274
rmse / p90
18.7462
silog / mean
0.2261
silog / median
0.4650
silog / p90
0.6924
absrel / median
0.3494
absrel / p90
0.7768
rmse / median
15.6277
rmse / p90
35.6213
silog / mean
0.2071
silog / median
0.3055
silog / p90
0.5929
absrel / median
0.5809
absrel / p90
0.9845
rmse / median
8.5914
rmse / p90
19.3101
silog / mean
0.2132
silog / median
0.4595
silog / p90
0.6872
absrel / median
0.6641
absrel / p90
1.0410
rmse / median
4.8505
rmse / p90
7.9815
silog / mean
0.1582
silog / median
0.5095
silog / p90
0.7134
rmse / median
7.0433
rmse / p90
18.9015
silog / mean
0.2276
silog / median
0.4643
silog / p90
0.6922
image mean / absrel
0.6809
all / absrel
0.6821
all / delta1
0.2033
all / delta2
0.4776
all / delta3
0.8717
all / log10
0.1985
all / mae
9.4408
all / rmse
14.0081
all / rmse log
0.5095
all / silog
0.2261
all / sqrel
18.6118
image mean / delta1
0.2042
image mean / delta2
0.4787
image mean / delta3
0.8718
far / absrel
0.3954
far / delta1
0.3776
far / delta2
0.7526
far / delta3
0.9363
far / log10
0.1404
far / mae
17.2134
far / rmse
21.0522
far / rmse log
0.3701
far / silog
0.2071
far / sqrel
13.3918
image mean / log10
0.1983
image mean / mae
9.4821
mid / absrel
0.6317
mid / delta1
0.2097
mid / delta2
0.4886
mid / delta3
0.8807
mid / log10
0.1935
mid / mae
10.4788
mid / rmse
14.6814
mid / rmse log
0.4920
mid / silog
0.2132
mid / sqrel
15.4106
near / absrel
0.7883
near / delta1
0.1601
near / delta2
0.4212
near / delta3
0.8600
near / log10
0.2138
near / mae
5.5859
near / rmse
7.7310
near / rmse log
0.5318
near / silog
0.1582
near / sqrel
21.7737
image mean / rmse
14.0819
image mean / rmse log
0.5092
image mean / silog
0.2276
image mean / sqrel
18.5788
image median / absrel
0.6777
all / absrel
0.6777
all / delta1
0.0415
all / delta2
0.3515
all / delta3
0.9281
all / log10
0.2147
all / mae
9.7846
all / rmse
12.6185
all / rmse log
0.5344
all / silog
0.2106
all / sqrel
10.0275
image median / delta1
0.0471
image median / delta2
0.3515
image median / delta3
0.9289
far / absrel
0.3628
far / delta1
0.2826
far / delta2
0.8595
far / delta3
0.9738
far / log10
0.1358
far / mae
15.5120
far / rmse
18.6829
far / rmse log
0.3602
far / silog
0.1905
far / sqrel
7.8886
image median / log10
0.2147
image median / mae
9.7842
mid / absrel
0.6669
mid / delta1
0.0410
mid / delta2
0.4051
mid / delta3
0.9301
mid / log10
0.2112
mid / mae
11.0344
mid / rmse
13.7092
mid / rmse log
0.5264
mid / silog
0.2026
mid / sqrel
10.7605
near / absrel
0.7187
near / delta1
0.000e+0
near / delta2
0.1577
near / delta3
0.9586
near / log10
0.2271
near / mae
5.5586
near / rmse
6.1810
near / rmse log
0.5417
near / silog
0.1050
near / sqrel
5.0142
image median / rmse
12.6469
image median / rmse log
0.5332
image median / silog
0.2128
image median / sqrel
10.0036
pixel pool / absrel
0.7015
all / absrel
0.7030
all / delta1
0.1838
all / delta2
0.4671
all / delta3
0.8790
all / log10
0.2018
all / mae
10.0065
all / rmse
17.5538
all / rmse log
0.5507
all / silog
0.3167
all / sqrel
21.4038
pixel pool / delta1
0.1849
pixel pool / delta2
0.4685
pixel pool / delta3
0.8792
far / absrel
0.4234
far / delta1
0.3680
far / delta2
0.7416
far / delta3
0.9377
far / log10
0.1442
far / mae
19.2951
far / rmse
28.8468
far / rmse log
0.4153
far / silog
0.3222
far / sqrel
17.8183
pixel pool / log10
0.2015
pixel pool / mae
10.0710
mid / absrel
0.6503
mid / delta1
0.1877
mid / delta2
0.4759
mid / delta3
0.8854
mid / log10
0.1974
mid / mae
10.9923
mid / rmse
18.0145
mid / rmse log
0.5293
mid / silog
0.2947
mid / sqrel
17.6266
near / absrel
0.8761
near / delta1
0.1378
near / delta2
0.3923
near / delta3
0.8530
near / log10
0.2233
near / mae
5.9473
near / rmse
12.8818
near / rmse log
0.6170
near / silog
0.3437
near / sqrel
30.4872
pixel pool / rmse
17.6881
pixel pool / rmse log
0.5502
pixel pool / silog
0.3181
pixel pool / sqrel
21.3878