Table 19: Results: ADE20K. Red: the best for each metric. Green: the worst for each metric.
Method	Backbone	mIoU1	mIoUq	mIoU5	mIoU1
mIoUC	mIoUCq	mIoUC5	mIoUC1
mIoUK	mIoUKq	mIoUK5	mIoUK1
mIoUD	mAcc	Acc
DeepLabV3+	ResNet101	58.79 ± 0.04	45.99 ± 0.05	25.18 ± 0.22	16.74 ± 0.87
46.52 ± 0.30	23.86 ± 0.33	1.87 ± 0.28	1.33 ± 0.47
45.84 ± 0.30	22.72 ± 0.35	1.76 ± 0.30	1.00 ± 0.00
46.32 ± 0.33	60.96 ± 0.51	81.25 ± 0.03
DeepLabV3+	ResNet50	57.15 ± 0.16	44.41 ± 0.14	23.71 ± 0.23	15.46 ± 0.42
44.25 ± 0.36	22.06 ± 0.11	1.48 ± 0.20	0.67 ± 0.47
43.73 ± 0.39	21.16 ± 0.11	1.40 ± 0.16	0.67 ± 0.47
44.14 ± 0.31	59.41 ± 0.51	80.16 ± 0.10
DeepLabV3+	ResNet34	55.58 ± 0.07	42.52 ± 0.09	21.73 ± 0.16	13.51 ± 0.83
40.65 ± 0.09	19.98 ± 0.02	1.64 ± 0.10	1.00 ± 0.00
40.02 ± 0.14	18.97 ± 0.09	1.63 ± 0.10	1.00 ± 0.00
40.50 ± 0.17	54.94 ± 0.23	79.49 ± 0.10
DeepLabV3+	ResNet18	53.78 ± 0.12	40.89 ± 0.11	20.54 ± 0.08	11.39 ± 0.80
37.98 ± 0.17	18.31 ± 0.09	1.41 ± 0.08	1.00 ± 0.00
37.52 ± 0.17	17.43 ± 0.11	1.40 ± 0.09	1.00 ± 0.00
38.40 ± 0.25	52.09 ± 0.26	78.48 ± 0.17
DeepLabV3+	EfficientNetB0	54.17 ± 0.16	40.90 ± 0.17	19.40 ± 0.32	9.63 ± 0.65
38.63 ± 0.13	18.49 ± 0.11	1.32 ± 0.07	1.00 ± 0.00
38.23 ± 0.07	17.68 ± 0.12	1.30 ± 0.08	1.00 ± 0.00
39.06 ± 0.44	53.40 ± 0.25	78.88 ± 0.39
DeepLabV3+	MobileNetV2	52.85 ± 0.13	39.92 ± 0.12	19.94 ± 0.18	11.25 ± 0.29
36.42 ± 0.04	17.49 ± 0.09	1.37 ± 0.13	1.00 ± 0.00
35.93 ± 0.11	16.55 ± 0.13	1.35 ± 0.12	1.00 ± 0.00
36.85 ± 0.34	50.50 ± 0.27	77.99 ± 0.22
DeepLabV3+	MobileViTV2	55.05 ± 0.11	42.01 ± 0.14	21.73 ± 0.30	14.52 ± 0.44
39.98 ± 0.11	19.12 ± 0.19	1.18 ± 0.22	0.67 ± 0.47
39.62 ± 0.15	18.30 ± 0.19	1.11 ± 0.20	0.33 ± 0.47
41.36 ± 0.43	55.07 ± 0.52	79.34 ± 0.05
UPerNet	ResNet101	57.85 ± 0.01	45.14 ± 0.07	24.22 ± 0.30	14.91 ± 0.85
45.33 ± 0.25	22.90 ± 0.23	1.91 ± 0.19	1.00 ± 0.00
44.85 ± 0.27	21.99 ± 0.25	1.77 ± 0.16	1.00 ± 0.00
45.89 ± 0.11	59.65 ± 0.35	80.97 ± 0.06
UPerNet	ConvNeXt	60.62 ± 0.07	48.13 ± 0.06	28.39 ± 0.11	19.61 ± 0.34
48.45 ± 0.15	25.28 ± 0.03	2.14 ± 0.03	1.00 ± 0.00
47.58 ± 0.17	24.08 ± 0.08	1.98 ± 0.03	1.00 ± 0.00
51.08 ± 0.42	63.34 ± 0.50	83.55 ± 0.07
UPerNet	MiTB4	60.64 ± 0.11	47.81 ± 0.15	26.84 ± 0.04	17.48 ± 0.22
48.58 ± 0.10	25.47 ± 0.08	2.36 ± 0.09	1.67 ± 0.47
47.97 ± 0.13	24.49 ± 0.15	2.16 ± 0.12	1.00 ± 0.00
50.25 ± 0.15	64.13 ± 0.22	83.23 ± 0.12
SegFormer	MiTB4	60.29 ± 0.07	47.64 ± 0.07	26.96 ± 0.08	17.39 ± 0.31
48.10 ± 0.09	25.29 ± 0.12	2.32 ± 0.16	1.33 ± 0.47
47.47 ± 0.12	24.25 ± 0.16	2.09 ± 0.15	1.00 ± 0.00
50.23 ± 0.26	64.19 ± 0.26	83.09 ± 0.03
SegFormer	MiTB2	58.28 ± 0.03	45.72 ± 0.06	25.45 ± 0.02	17.02 ± 0.21
45.79 ± 0.09	23.59 ± 0.18	2.52 ± 0.18	1.67 ± 0.47
45.18 ± 0.07	22.71 ± 0.18	2.37 ± 0.18	1.67 ± 0.47
47.18 ± 0.07	61.34 ± 0.20	81.72 ± 0.05
DeepLabV3	ResNet101	57.27 ± 0.06	44.60 ± 0.09	24.09 ± 0.23	15.67 ± 0.43
44.75 ± 0.11	22.72 ± 0.19	1.89 ± 0.17	1.00 ± 0.00
43.96 ± 0.15	21.59 ± 0.21	1.78 ± 0.19	1.00 ± 0.00
46.08 ± 0.08	60.20 ± 0.25	81.07 ± 0.08
PSPNet	ResNet101	57.37 ± 0.06	44.90 ± 0.03	24.79 ± 0.18	16.81 ± 0.35
44.86 ± 0.22	22.84 ± 0.21	1.79 ± 0.14	1.00 ± 0.00
44.29 ± 0.25	21.86 ± 0.20	1.72 ± 0.14	1.00 ± 0.00
45.69 ± 0.33	59.42 ± 0.57	81.00 ± 0.14
UNet	ResNet101	56.86 ± 0.05	44.15 ± 0.02	24.05 ± 0.31	14.84 ± 0.48
42.17 ± 0.05	21.04 ± 0.09	1.49 ± 0.04	1.00 ± 0.00
41.43 ± 0.02	19.83 ± 0.05	1.42 ± 0.02	1.00 ± 0.00
40.78 ± 0.07	54.58 ± 0.15	79.24 ± 0.04