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Monocular Depth Estimation 벤치마크

Monocular Depth Estimation on Middlebury 2014

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ORD

0.3467 0.357 0.3673 0.3776 0.3879 2021-05 2026-11 Miangoleh et al. (MiDaS) — 0.3467 (2021-05-28) Miangoleh et al. (SGR) — 0.3879 (2021-05-28) Miangoleh et al. (MiDaS) — 0.3467 (2021-05-28) Miangoleh et al. (SGR) — 0.3879 (2021-05-28) Miangoleh et al. (MiDaS) — 0.3467 (2021-05-28) Miangoleh et al. (SGR) — 0.3879 (2021-05-28)
RankModel ORD D3RRMSEδ1.25 PaperCodeYear
1 Miangoleh et al. (MiDaS) 0.34670.15780.15570.7406 Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging compphoto/BoostingMonocularDepth 2021
2 Miangoleh et al. (SGR) 0.38790.23240.19730.7891 Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging compphoto/BoostingMonocularDepth 2021
3 Miangoleh et al. (MiDaS) 0.34670.15780.15570.7406 Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging compphoto/BoostingMonocularDepth 2021
4 Miangoleh et al. (SGR) 0.38790.23240.19730.7891 Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging compphoto/BoostingMonocularDepth 2021
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