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An efficient and accurate multi-level cascaded recurrent network for stereo matching
Nature
With the advent of Transformer-based convolutional neural networks, stereo matching algorithms have achieved state-of-the-art accuracy in disparity...
5 months ago
Dense monocular depth estimation for stereoscopic vision based on pyramid transformer and multi-scale feature fusion
Nature
Stereoscopic display technology plays a significant role in industries, such as film, television and autonomous driving. The accuracy of depth estimation is...
6 months ago
Depth Anything —A Foundation Model for Monocular Depth Estimation | by Sascha Kirch
Towards Data Science
Monocular depth estimation, the prediction of distance in 3D space from a 2D image. The “ill posed and inherently ambiguous problem”, as stated in literally...
6 months ago
A synthetic digital city dataset for robustness and generalisation of depth estimation models | Scientific Data
Nature
Existing monocular depth estimation driving datasets are limited in the number of images and the diversity of driving conditions. The images of datasets are...
6 months ago
How to Estimate Depth from a Single Image
Towards Data Science
In this post, we will illustrate how to load and visualize depth map data, run monocular depth estimation models, and evaluate depth predictions.
8 months ago
Knowledge distillation of multi-scale dense prediction transformer for self-supervised depth estimation
Nature
Depth estimation is an inverse projection problem that estimates pixel-level distances from a single image. Although, supervised methods have shown...
10 months ago
Confidence-aware self-supervised learning for dense monocular depth estimation in dynamic laparoscopic scene
Nature
This paper tackles the challenge of accurate depth estimation from monocular laparoscopic images in dynamic surgical environments.
12 months ago
BYOL —The Alternative to Contrastive Self-Supervised Learning
Towards Data Science
It provides an alternative to contrastive self-supervised learning techniques for representation learning removing the need for a large corpus of negative...
12 months ago
Monocular Depth Estimation to Predict Surface Reliefs of Mars | by Mattia Gatti
Towards Data Science
Several approaches to estimating surface elevation from a single image have been discussed in the literature. In a previous article, I discussed how it is...
12 months ago
Meta AI’s Another Revolutionary Large Scale Model — DINOv2 for Image Feature Extraction.
Towards Data Science
Mete AI introduces a new version of the image feature extraction model called DINOv2 which automatically extracts visual features from the image.
15 months ago