Depth Estimation On Mars Dtm Estimation
Metriken
Average PSNR
Delta u003c 1.25
Delta u003c 1.25^2
Delta u003c 1.25^3
RMSE
mean absolute error
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | Average PSNR | Delta u003c 1.25 | Delta u003c 1.25^2 | Delta u003c 1.25^3 | RMSE | mean absolute error | Paper Title | Repository |
|---|---|---|---|---|---|---|---|---|
| SRDINET (Model A) | 15.069 | 0.3967 | 0.6731 | 0.8208 | 0.1859 | 0.1558 | An Adversarial Generative Network Designed for High-Resolution Monocular Depth Estimation from 2D HiRISE Images of Mars | |
| GLPDepth | 29.2636 | 0.4324 | 0.6667 | 0.7949 | 18.3042 | 10.2905 | An Adversarial Generative Network Designed for High-Resolution Monocular Depth Estimation from 2D HiRISE Images of Mars |
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