Polyphonicformer: Unified query learning for depth-aware video panoptic segmentation
Abstract The Depth-aware Video Panoptic Segmentation (DVPS) is a new challenging
vision problem that aims to predict panoptic segmentation and depth in a video …
vision problem that aims to predict panoptic segmentation and depth in a video …
Desc: Domain adaptation for depth estimation via semantic consistency
A Lopez-Rodriguez, K Mikolajczyk - International Journal of Computer …, 2023 - Springer
Accurate real depth annotations are difficult to acquire, needing the use of special devices
such as a LiDAR sensor. Self-supervised methods try to overcome this problem by …
such as a LiDAR sensor. Self-supervised methods try to overcome this problem by …
Graph semantic information for self-supervised monocular depth estimation
D Zhang, C Wang, H Wang, Q Fu - Pattern Recognition, 2024 - Elsevier
Self-supervised monocular depth estimation has garnered significant attention in recent
years due to its practical value in applications, as it eliminates the need for ground truth …
years due to its practical value in applications, as it eliminates the need for ground truth …
Monocular depth estimation with adaptive geometric attention
T Naderi, A Sadovnik, J Hayward… - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
Single image depth estimation is an ill-posed problem. That is, it is not mathematically
possible to uniquely estimate the 3rd dimension (or depth) from a single 2D image. Hence …
possible to uniquely estimate the 3rd dimension (or depth) from a single 2D image. Hence …
Learning depth via leveraging semantics: Self-supervised monocular depth estimation with both implicit and explicit semantic guidance
Self-supervised monocular depth estimation has shown great success in learning depth
using only images for supervision. In this paper, we propose to enhance self-supervised …
using only images for supervision. In this paper, we propose to enhance self-supervised …
Non-uniform motion deblurring with blurry component divided guidance
Blind image deblurring is a fundamental and challenging computer vision problem, which
aims to recover both the blur kernel and the latent sharp image from only a blurry …
aims to recover both the blur kernel and the latent sharp image from only a blurry …
LDA-Mono: A lightweight dual aggregation network for self-supervised monocular depth estimation
B Zhao, H He, H Xu, P Shi, X Hao, G Huang - Knowledge-Based Systems, 2024 - Elsevier
Monocular depth estimation plays a crucial role in various computer vision and robotics
applications, particularly in self-supervised methods that do not require ground-truth depth …
applications, particularly in self-supervised methods that do not require ground-truth depth …