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How to Estimate Depth from a Single Image
Towards Data Science
Humans view the world through two eyes. One of the primary benefits of this binocular vision is the ability to perceive depth — how near or...
6 months ago
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...
4 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.
11 months ago
Intel Labs Advances Computer Vision Development with Two New AI Models
Unite.AI
VI-Depth 1.0 and MiDaS 3.1 open source AI models improve depth estimation for computer vision. Depth estimation is a challenging computer...
16 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,...
11 months ago
Research Guide for Depth Estimation with Deep Learning
KDnuggets
Depth estimation is a computer vision task designed to estimate depth from a 2D image. The task requires an input RGB image and outputs a...
57 months ago
Qualcomm AI Research Innovates 3D Perception Techniques
Forbes
One of the thorniest problems mobile and edge platforms wrestle with is achieving 3D perception on 2D images or 3D point clouds using an...
24 months ago
BYOL —The Alternative to Contrastive Self-Supervised Learning
Towards Data Science
In today's paper analysis we will have a close look into the paper behind BYOL (Bootstrap Your Own Latent). It provides an alternative to...
11 months ago
Where do we stand in AI for endoscopic image analysis? Deciphering gaps and future directions | npj Digital Medicine
Nature
Recent developments in deep learning have enabled data-driven algorithms that can reach human-level performance and beyond.
19 months ago
Deep learning-based robust positioning for all-weather autonomous driving
Nature
Interest in autonomous vehicles (AVs) is growing at a rapid pace due to increased convenience, safety benefits and potential environmental...
23 months ago