Sep 29, 2022 · We present a novel lightweight Edge Guided Depth Estimation Network (EGD-Net) in this study. In particular, we start out with a lightweight encoder-decoder ...
Feb 15, 2022 · We propose an encoder–decoder network (EdgeNet) for precise and fast MDE on different edge devices.
Abstract—Given monocular images as inputs, monocular depth estimation (MDE) infers pixel-level depth. MDE is always a critical.
This paper proposes to explicitly decouple depth features for the body and edges of objects corresponding to low and high-frequency regions of an image, ...
Given monocular images as inputs, monocular depth estimation (MDE) infers pixel-level depth. MDE is always a critical stage in scene sensing on edge devices ...
The monocular depth estimation (MDE) is a DL task where the depth related to the scene is estimated through a single RGB image. In recent computer vision and ...
By greatly reducing the training parameters, this approach achieves high precision, making it well suited for deployment on edge devices. A detail highlight ...
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The pruned and optimized MDE achieves promising depth sensing with a better tradeoff among model runtime, accuracy, computational complexity, and power ...
Experiments demonstrate that MobileDepth improves monocular depth estimation significantly with a small number of parameters. In the future, we will concentrate ...
Sep 29, 2022 · Monocular depth estimation is an important task that can be applied to many robotic applications. Existing methods focus on improving depth ...