Monocular Depth Estimation On Kitti Eigen 1

評価指標

Delta u003c 1.25

Delta u003c 1.25^2

Delta u003c 1.25^3

Mono

RMSE

RMSE log

Sq Rel

absolute relative error

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

比較表

モデル名	Delta u003c 1.25	Delta u003c 1.25^2	Delta u003c 1.25^3	Mono	RMSE	RMSE log	Sq Rel	absolute relative error
transdssl-transformer-based-depth-estimation	0.906	0.967	0.984	O	4.321	0.172	0.711	0.095
pose-constraints-for-consistent-self	-	-	-	-	-	-	-	0.113
gcndepth-self-supervised-monocular-depth	-	-	-	-	4.494	0.181	0.720	0.104
dcpi-depth-explicitly-infusing-dense	-	-	-	-	4.496	-	0.679	0.109
mgdepth-motion-guided-cost-volume-for-self	0.909	0.968	0.984	O	4.232	0.170	0.649	0.091
hr-depth-high-resolution-self-supervised	-	-	-	-	-	-	-	0.101
hr-depth-high-resolution-self-supervised	-	-	-	-	-	-	-	0.104
scipad-incorporating-spatial-clues-into	0.897	0.964	0.983	O	4.391	0.175	0.732	0.098
ds-depth-dynamic-and-static-depth-estimation	0.905	0.966	0.984	-	4.329	0.173	0.698	0.095
packnet-sfm-3d-packing-for-self-supervised	-	-	-	-	-	-	-	0.107
nimbled-enhancing-self-supervised-monocular	0.901	0.968	0.985	O	4.401	0.174	0.733	0.098
improving-self-supervised-single-view-depth	-	-	-	-	-	-	-	0.113
exploring-efficiency-of-vision-transformers	0.904	0.965	0.983	-	4.439	0.178	0.743	0.099
scipad-incorporating-spatial-clues-into	0.918	0.970	0.985	-	4.056	0.166	0.650	0.090
hr-depth-high-resolution-self-supervised	-	-	-	-	-	-	-	0.109
monoformer-towards-generalization-of-self	-	-	-	O	-	-	-	0.104
unsupervised-monocular-depth-estimation-with	-	-	-	-	-	-	-	0.133
nimbled-enhancing-self-supervised-monocular	0.898	0.967	0.985	O	4.440	0.175	0.739	0.100
digging-into-self-supervised-monocular-depth-1	-	-	-	-	-	-	-	0.115
excavating-the-potential-capacity-of-self	0.901	0.966	0.983	X	4.207	0.176	0.646	0.091
monovit-self-supervised-monocular-depth	0.912	0.969	0.985	X	4.202	0.169	0.671	0.093
nimbled-enhancing-self-supervised-monocular	0.903	0.969	0.986	O	4.304	0.171	0.684	0.096
self-supervised-monocular-depthestimation	0.911	0.968	0.984	X	4.250	0.172	0.678	0.094
hr-depth-high-resolution-self-supervised	-	-	-	-	-	-	-	0.104
planedepth-plane-based-self-supervised	0.911	0.968	0.984	X	3.981	0.169	0.549	0.084
channel-wise-attention-based-network-for-self	-	-	-	-	4.264	0.173	0.694	0.096
camlessmonodepth-monocular-depth-estimation	-	-	-	-	-	-	-	0.105
towards-comprehensive-representation	0.902	0.969	0.986	-	4.165	0.171	0.624	0.099
spidepth-strengthened-pose-information-for	0.94	0.973	0.985	X	3.662	0.153	0.531	0.071
monocular-depth-estimation-through-virtual	0.882	0.962	-	-	4.413	-	0.703	0.101
prodepth-boosting-self-supervised-multi-frame	0.902	0.967	0.985	O	4.345	0.172	0.693	0.095
camlessmonodepth-monocular-depth-estimation	-	-	-	-	-	-	-	0.102
sharingan-combining-synthetic-and-real-data-1	0.864	0.954	0.981	-	3.77	0.19	0.673	0.109
multimodal-scale-consistency-and-awareness	-	-	-	-	-	-	-	0.109
unsupervised-monocular-depth-and-ego-motion	-	-	-	-	-	-	-	0.1412
nimbled-enhancing-self-supervised-monocular	0.898	0.967	0.986	O	4.370	0.172	0.709	0.099
exploring-efficiency-of-vision-transformers	0.893	0.964	0.983	-	4.530	0.182	0.762	0.105
dcpi-depth-explicitly-infusing-dense	0.902	0.967	0.985	-	4.274	0.170	0.662	0.095
excavating-the-potential-capacity-of-self	0.888	0.963	0.982	-	4.490	0.183	0.754	0.099
prodepth-boosting-self-supervised-multi-frame	0.918	0.969	0.984	-	4.139	0.166	0.629	0.086
disentangling-object-motion-and-occlusion-for	0.897	0.964	0.984	X	4.458	0.175	0.720	0.096
nimbled-enhancing-self-supervised-monocular	0.905	0.969	0.986	O	4.333	0.171	0.697	0.096
mgdepth-motion-guided-cost-volume-for-self	0.909	0.968	0.985	O	4.246	0.170	0.676	0.094
nimbled-enhancing-self-supervised-monocular	0.904	0.968	0.985	O	4.377	0.172	0.721	0.097
feature-metric-loss-for-self-supervised	-	-	-	-	-	-	-	0.104
digging-into-self-supervised-monocular-depth-1	-	-	-	-	-	-	-	0.109
superdepth-self-supervised-super-resolved	-	-	-	-	-	-	-	0.112
dcpi-depth-explicitly-infusing-dense	0.914	0.969	0.985	O	4.113	0.167	0.655	0.090
nimbled-enhancing-self-supervised-monocular	0.910	0.970	0.986	O	4.194	0.165	0.646	0.092
dyna-dm-dynamic-object-aware-self-supervised	0.871	0.959	0.982	-	4.698	0.192	0.785	0.115
x-distill-improving-self-supervised-monocular	0.895	0.965	0.983	-	4.439	0.180	0.698	0.102
feature-metric-loss-for-self-supervised	0.889	0.963	0.982	-	4.427	0.184	0.697	0.099
camlessmonodepth-monocular-depth-estimation	-	-	-	-	-	-	-	0.106
digging-into-self-supervised-monocular-depth-1	-	-	-	-	-	-	-	0.106