Onegafer/glpn-nyu-finetuned-diode-230531-145730
Depth Estimation
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Updated
May 31, 2023
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6
Source link
glpn-nyu-finetuned-diode-230530-204740
This model is a fine-tuned version of vinvino02/glpn-nyu on the diode-subset dataset.
It achieves the following results on the evaluation set:
Loss: 1.5139
Mae: 3.0509
Rmse: 3.4756
Abs Rel:…
glpn-nyu-finetuned
This model is a fine-tuned version of vinvino02/glpn-nyu on the diode-subset dataset.
It achieves the following results on the evaluation set:
Loss: 1.5286
Mae: 3.1196
Rmse: 3.5796
Abs Rel:…
Onegafer/glpn-nyu-finetuned-diode-230530-200638
Depth Estimation
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Updated
May 30, 2023
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28
Source link
Onegafer/glpn-nyu-finetuned-diode-230530-195824
Depth Estimation
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Updated
May 30, 2023
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6
Source link
Onegafer/glpn-nyu-finetuned-diode-230530-195017
Depth Estimation
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Updated
May 30, 2023
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28
Source link
glpn-nyu-finetuned-diode-230530-193901
This model is a fine-tuned version of vinvino02/glpn-nyu on the diode-subset dataset.
It achieves the following results on the evaluation set:
Loss: 1.5356
Mae: 3.1497
Rmse: 3.6237
Abs Rel:…
LapDepth-release
This repository is a Pytorch implementation of the paper "Monocular Depth Estimation Using Laplacian Pyramid-Based Depth Residuals"
Minsoo Song, Seokjae Lim, and Wonjun Kim* IEEE Transactions…