Duration: 18:38
Posted: Jan 18, 2024

Nov 17, 2023 · Explore the evolution of Monocular Depth Estimation: from fundamentals to MiDaS technology. Discover applications, future trends, and the impact on AI.

Mar 20, 2024 · We present DepthFM, a fast-inference flow matching model with strong zero-shot generalization capabilities.

Oct 9, 2024 · The KITTI and NYU Depth V2 are widely used outdoor and indoor scene datasets for monocular depth estimation. The KITTI dataset contains various road ...

Jan 17, 2024 · The promise of depth estimation from a single image, known as Monocular Depth Estimation, is huge: without any special hardware or extra data.

Missing: Outdoor | Show results with:Outdoor

Jul 23, 2024 · Monocular Depth Estimation (MDE) is the task of training a neural network to determine depth information from a single image.

Dec 14, 2023 · This paper proposes a novel monocular depth estimation method to predict the depth of distant objects in outdoor scenes. Our algo- rithm can be divided into ...

Dec 15, 2023 · Self-supervised monocular depth estimation (DE) is an approach to learning depth without costly depth ground truths. However, it often struggles with moving ...

Mar 20, 2024 · This master's thesis aims to explore and evaluate the possibility to fuse deep learning based depth perception networks with monocular SLAM architectures in ...