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 ...
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 ...
People also ask
What is NYU V2 depth data set?
What is the benchmark for depth estimation?
The current state-of-the-art on NYU-Depth V2 is Metric3Dv2(L, FT). See a full comparison of 74 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 ...
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 ...
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.
Indoor Segmentation and Support Inference from RGBD Images.