Jun 19, 2024 · Möbius transformation-based spatial augmentation (MTSA) is proposed to impose consistency regularization between the unlabeled data and spatially transformed ...
Jun 18, 2024 · Accurately estimating depth in 360-degree imagery is crucial for virtual reality, autonomous navigation, and immersive media applications.
Jun 30, 2024 · The three main types of prevalent CRFs in depth estimation are continuous, discrete, and hierarchical CRFs. ... Towards robust monocular depth estimation: Mixing ...
Jul 7, 2024 · Deep learning methods are proven to significantly improve the depth estimation performance of monocular images. •. We use the Attention U-Net architecture ...
Jun 28, 2024 · This research aims to enhance MDE (Monocular Depth Estimation) using a single camera, offering extreme cost-effectiveness in acquiring 3D environmental data. In ...
Jun 19, 2024 · It leverages hierarchical knowledge from external sources and a hierarchical prediction ... Towards scene understanding: Un- supervised monocular depth estimation ...
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1 day ago · However, considering the complexity of monocular depth estimation, relying ... Deep hierarchical feature learning on point sets in a metric space.
Jul 7, 2024 · We propose a novel unsupervised training framework of depth and pose with 3D hierarchical refinement and augmentation using explicit 3D geometry. PontTuset.
Jul 8, 2024 · In this work, we introduce a novel method to supervise the depth distribution of 3D Gaussians, utilizing depth priors with integrated uncertainty estimates. To ...
Jul 8, 2024 · Hierarchical Planning for Resource-Constrained Long ... Robust Monocular Depth Estimation in Adverse Weather Conditions by Unsupervised Domain Adaptation ...