The NYU-Depth V2 data set is comprised of video sequences from a variety of indoor scenes as recorded by both the RGB and Depth cameras from the Microsoft ...
The NYU-Depth V2 data set is comprised of video sequences from a variety of indoor scenes as recorded by both the RGB and Depth cameras from the Microsoft ...
The NYU-Depth V2 data set is comprised of video sequences from a variety of indoor scenes as recorded by both the RGB and Depth cameras from the Microsoft ...
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What is NYU V2 depth data set?
What is the benchmark for depth estimation?
Mar 1, 2023 · The NYU-Depth V2 data set is comprised of video sequences from a variety of indoor scenes as recorded by both the RGB and Depth cameras from the ...
Nov 23, 2022 · The NYU-Depth V2 data set is comprised of video sequences from a variety of indoor scenes as recorded by both the RGB and Depth cameras from ...
NYUDv2 has a curated semantic segmentation challenge with RGB-D inputs and full scene labels of objects and surfaces. While there are many labels, ...
The current state-of-the-art on NYU-Depth V2 is HybridDepth. See a full comparison of 76 papers with code.
NYU Depth V2. 464 different indoor scenes; 26 scene types; 407,024 unlabeled frames; 1449 densely labeled frames; 1000+ Classes; Inpainted and raw depth ...
Apr 15, 2024 · Abstract:We present ANYU, a new virtually augmented version of the NYU depth v2 dataset, designed for monocular depth estimation.
When we apply monocular depth estimation on NYU-d v2 dataset, we shoule generate the RGB image and dense depth map ourself, the process method is as follows.