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Depth Estimation 벤치마크

Depth Estimation on Mars DTM Estimation

4개 결과 · ⬇ CSV · JSON

Delta < 1.25

0.3967 0.4056 0.4145 0.4235 0.4324 2022-08 2026-09 GLPDepth — 0.4324 (2022-08-15) SRDINET (Model A) — 0.3967 (2022-08-15) GLPDepth — 0.4324 (2022-08-15) SRDINET (Model A) — 0.3967 (2022-08-15) GLPDepth — 0.4324 (2022-08-15)
RankModel Delta < 1.25Delta < 1.25^2Delta < 1.25^3Average PSNRmean absolute errorRMSE PaperCodeYear
1 GLPDepth 0.43240.66670.794929.263610.290518.3042 An Adversarial Generative Network Designed for High-Resolution Monocular Depth Estimation from 2D HiRISE Images of Mars riccardo2468/srdinet 2022
2 SRDINET (Model A) 0.39670.67310.820815.0690.15580.1859 An Adversarial Generative Network Designed for High-Resolution Monocular Depth Estimation from 2D HiRISE Images of Mars riccardo2468/srdinet 2022
3 GLPDepth 0.43240.66670.794929.263610.290518.3042 An Adversarial Generative Network Designed for High-Resolution Monocular Depth Estimation from 2D HiRISE Images of Mars riccardo2468/srdinet 2022
4 SRDINET (Model A) 0.39670.67310.820815.0690.15580.1859 An Adversarial Generative Network Designed for High-Resolution Monocular Depth Estimation from 2D HiRISE Images of Mars riccardo2468/srdinet 2022
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