Monocular Depth Estimation is the task of estimating the depth value (distance relative to the camera) of each pixel given a single (monocular) RGB image.
May 24, 2022 · The goal in monocular depth estimation is to predict the depth value ... We will be using the dataset DIODE: A Dense Indoor and Outdoor Depth ...
Monocular Depth Estimation is the task of estimating the depth value (distance relative to the camera) of each pixel given a single (monocular) RGB image.
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer. This repository contains code to compute depth from a single ...
... Depth: Uncertainty Rectified Cross-Distillation with CutFlip for Monocular Depth Estimation. ... Dataset: Virtual KITTI contains 50 high-resolution monocular ...
The dataset contains around 100,000 pairs of color images with precise dense depth maps of resolution 1920 × 1080, and we refer to this dataset as a High- ...
Apr 15, 2024 · Abstract:We present ANYU, a new virtually augmented version of the NYU depth v2 dataset, designed for monocular depth estimation.
We provide Depth Estimation oN Synthetic Events (DENSE) Dataset that you can use to train your model. DENSE. Event Camera plugin. You can extend DENSE or create ...
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The Mobile AI depth estimation challenge dataset [14] provides with image to depthmap correspon- dences. It comprises of 8K samples that were acquired in.
The intuition is that zero-shot cross-dataset performance is a more faithful proxy of “real world” performance than training and testing on subsets of a single ...
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