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Depth Prediction on NYU-depth v2 (test)

99.5Accuracy (δ < 1.25)

GuideNet

Updated 4d ago

Evaluation Results

Method
GuideNet 2019.08	99.5	99.9	100	0.015	-	0.101	-	-	-
DeepLiDAR 2019.08	99.3	99.9	100	0.022	-	0.115	-	-	-
CSPN 2019.08	99.2	99.9	100	0.016	-	0.117	-	-	-
UNet+CSPN 2018.11	99.2	99.9	100	0.016	-	0.117	-	-	-
MS-Net[LF] 2018.11	99.1	99.8	100	0.018	-	0.129	-	-	-
EncDec-Net[EF] 2018.11	99.1	99.8	100	0.017	-	0.123	-	-	-
NConv-CNN 2019.08	99	99.8	100	0.018	-	0.129	-	-	-
CSPN 2018.11	99	99.8	100	0.021	-	0.136	-	-	-
GuideNet 2019.08	98.8	99.8	100	0.024	-	0.142	-	-	-
UNet+SPN 2018.11	98.8	99.8	100	0.022	-	0.144	-	-	-
SPN 2018.11	98.5	99.7	99.9	0.027	-	0.162	-	-	-
EncDec-Net[EF] 2018.11	98.3	99.6	99.9	0.026	-	0.171	-	-	-
NConv-CNN 2019.08	98.2	99.6	99.9	0.027	-	0.173	-	-	-
MS-Net[LF] 2018.11	97.9	99.5	99.8	0.03	-	0.192	-	-	-
Ma et al. 2019.08	97.8	99.6	99.9	0.043	-	0.204	-	-	-
Sparse-to-Dense 2018.11	97.8	99.5	99.9	0.043	-	0.224	-	-	-
Ma and Karaman 2018.03	97.1	99.4	99.8	0.044	-	-	-	-	-
Zhang et al. 2019.08	97.1	99.3	99.7	0.042	-	0.228	-	-	-
Ma et al. 2019.08	97.1	99.4	99.8	0.044	-	0.23	-	-	-
Sparse-to-Dense 2018.11	97.1	99.4	99.8	0.044	-	0.23	-	-	-
Freeform 2019.04	93	99	99.9	0.087	0.052	-	-	-	0.433
Bilateral 2019.08	92.4	97.6	98.9	0.084	-	0.479	-	-	-
Astigmatism 2019.04	91.6	98.6	99.8	0.095	0.056	-	-	-	0.456
Chromatic 2019.04	91.6	98.7	99.8	0.095	0.056	-	-	-	0.45
DenseDepth 2018.12	89.5	98	99.6	0.103	0.043	-	-	-	0.39
Defocus 2019.04	89.3	98.1	99.6	0.108	0.062	-	-	-	0.481
Liao et al. 2018.11	87.8	96.4	98.9	0.104	-	0.442	-	-	-
Ours (SENet-154) 2018.03	86.6	97.5	99.3	0.115	0.05	-	-	-	0.53
Ours (DenseNet-161) 2018.03	85.5	97.2	99.3	0.123	0.053	-	-	-	0.544
DenseDepth 2018.12	84.6	97.4	99.4	0.123	0.053	-	-	-	0.465
Ours (ResNet-50) 2018.03	84.3	96.8	99.1	0.126	0.054	-	-	-	0.555
Hao et al. 2018.12	84.1	96.6	99.1	0.127	0.053	-	-	-	0.555
Qi et al. 2018.03	83.4	96	99	0.128	0.057	-	-	-	0.569
Li 2019.01	83.2	96.5	98.9	-	0.187	0.54	0.134	0.095	-
Moukari 2019.01	83	96.6	99.3	-	-	0.569	0.133	-	-
Fu et al. 2018.03	82.8	96.5	99.2	0.115	0.051	-	-	-	0.509
Fu et al. 2018.12	82.8	96.5	99.2	0.115	0.051	-	-	-	0.509
DORN 2019.04	82.8	96.5	99.2	0.115	0.051	-	-	-	0.509
DORN 2019.10	82.8	96.5	99.2	0.115	0.051	-	-	-	0.509
ACAN 2019.01	82.6	96.4	99	-	0.174	0.496	0.138	0.101	-
Li et al. 2018.05	82	96	98.9	0.139	0.058	0.505	-	-	-
Li 2019.01	82	96	98.9	-	-	0.545	0.139	-	-
Cao 2019.01	81.9	96.5	99.2	-	-	0.54	0.141	-	-
TGV 2019.08	81.9	93	96.8	0.123	-	0.635	-	-	-
PAD-Net-ResNet50 2018.05	81.7	95.4	98.7	0.12	0.055	0.582	-	-	-
Xu et al. 2018.03	81.7	95.4	98.7	0.12	0.055	-	-	-	0.582
Ours 2017.05	81.6	95	98.9	-	-	-	-	-	-
Lee et al. 2018.03	81.5	96.3	99.1	0.139	-	-	-	-	0.572
ACAN 2019.01	81.5	96	98.9	-	0.18	0.518	0.144	0.11	-
Yan 2019.01	81.3	96.5	99.3	-	-	0.502	0.135	-	-
Laina 2017.05	81.1	95.3	98.8	-	-	-	-	-	-
Xu et al. 2018.05	81.1	95	98.6	0.121	0.052	0.586	-	-	-
Laina et al. 2018.03	81.1	95.3	98.8	0.127	0.055	-	-	-	0.573
Xu et al. 2018.03	81.1	95.4	98.7	0.121	0.052	-	-	-	0.586
Laina 2019.01	81.1	95.3	98.8	-	0.195	0.573	0.127	-	-
Xu 2019.01	81.1	95.4	98.7	-	-	0.583	0.121	-	-
Laina et al. 2018.12	81.1	95.3	98.8	0.127	0.055	-	-	-	0.573
MS-CRF 2018.12	81.1	95.4	98.7	0.121	0.052	-	-	-	0.586
Laina et al. 2019.04	81.1	95.3	98.8	0.127	0.055	-	-	-	0.573
MS-CRF 2019.04	81.1	95.4	98.7	0.121	0.052	-	-	-	0.586
MS-CRF 2019.10	81.1	95.4	98.7	0.121	0.052	-	-	-	0.586
Ma and Karaman 2018.03	81	95.9	98.9	0.143	-	-	-	-	-
Ours 2017.05	80.9	94.5	98.6	-	-	-	-	-	-
Li 2019.01	80.8	95.7	98.5	-	-	0.601	0.147	-	-
Chakrabarti et al. 2018.03	80.6	95.8	98.7	0.149	-	-	-	-	0.62
Laina et al. 2018.05	80.1	95	98.6	0.129	0.056	0.583	-	-	-
Xu et al. 2018.05	79.3	94.8	98.4	0.139	0.063	0.609	-	-	-
Li et al. 2018.03	78.8	95.8	99.1	0.143	0.063	-	-	-	0.635
Li et al. [29] 2019.10	78.8	95.8	99.1	0.143	0.063	-	-	-	0.635
f_T (all-real) 2018.08	77.9	94.3	98.3	-	0.199	0.556	0.157	0.125	-
Dharmasiri et al. 2018.03	77.6	95.3	98.9	0.156	-	-	-	-	0.624
Eigen [10] 2017.05	76.9	95	98.8	-	-	-	-	-	-
Eigen and Fergus 2018.05	76.9	95	98.8	0.158	-	0.641	-	-	-
Eigen et al. (VGG) 2018.08	76.9	95	98.8	-	0.214	0.641	0.158	0.121	-
Eigen and Fergus 2018.03	76.9	95	98.8	0.158	-	-	-	-	0.641
Eigen 2019.01	76.9	95	98.8	-	0.214	0.641	0.158	0.121	-
Eigen et al. 2018.12	76.9	95	98.8	0.158	-	-	-	-	0.641
Jafari et al. 2018.05	76.2	94.8	98.8	0.157	0.068	0.673	-	-	-
SF-Net 2019.10	67.4	90	96.8	0.208	0.086	-	-	-	0.712
Liu et al. 2018.08	65	90.6	97.6	-	-	0.759	0.213	-	-
Liu 2019.01	65	90.6	97.6	-	-	0.759	0.213	-	-
Liu et al. [30] 2019.10	65	90.6	97.6	0.213	0.087	-	-	-	0.759
Cao et al. 2018.03	64.6	89.2	96.8	0.232	0.091	-	-	-	0.819
Li et al. 2018.03	62.1	88.6	96.8	0.232	0.094	-	-	-	0.821
Li 2019.01	62.1	88.6	96.8	-	-	0.821	0.232	-	-
Li et al. [26] 2019.10	62.1	88.6	96.8	0.232	0.094	-	-	-	0.821
Liu 2017.05	61.4	88.3	97.1	-	-	-	-	-	-
Eigen [11] 2017.05	61.4	88.8	97.2	-	-	-	-	-	-
Liu et al. 2018.05	61.4	88.3	97.5	0.23	0.095	0.824	-	-	-
Liu et al. 2018.03	61.4	88.3	97.1	0.23	0.095	-	-	-	0.824
Liu 2019.01	61.4	88.3	97.1	-	-	0.824	0.23	-	-
Eigen et al. 2018.05	61.1	88.7	97.1	0.215	-	0.907	-	-	-
Eigen et al. (Fine) 2018.08	61.1	88.7	97.1	-	0.285	0.907	0.215	0.212	-
Eigen et al. 2018.03	61.1	88.7	97.1	0.215	-	-	-	-	0.907
Eigen 2019.01	61.1	88.7	97.1	-	0.285	0.907	0.158	0.121	-
Joint HCRF 2018.05	60.5	89	97	0.22	0.094	0.745	-	-	-
Wang et al. 2019.10	60.5	89	97	0.22	-	-	-	-	0.824
Ladicky 2017.05	54.2	82.9	94	-	-	-	-	-	-
Ladicky et al. 2018.05	54.2	82.9	94.1	-	-	-	-	-	-
Ladicky et al. 2018.08	54.2	82.9	94	-	-	-	-	-	-

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