Results 21 to 30 of about 1,194,643 (283)
Monocular Depth Estimation Based on Multi-Scale Depth Map Fusion
IEEE Access, 2021 Monocular depth estimation is a basic task in machine vision. In recent years, the performance of monocular depth estimation has been greatly improved. However, most depth estimation networks are based on a very deep network to extract features that lead
Xin Yang +4 more
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RADepthNet: Reflectance-Aware Monocular Depth Estimation
Virtual Reality & Intelligent Hardware, 2022 Background: Monocular depth estimation aims to predict the dense depth map from a single RGB image, which has important applications in 3D reconstruction, automatic driving, and augmented reality.
Chuxuan Li +7 more
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MONOCULAR DEPTH ESTIMATION FOR NIGHT-TIME IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Depth estimation plays a pivotal role in numerous computer vision applications. However, depth estimation networks trained exclusively on daytime images tend to yield poor performance when applied to nighttime scenarios due to domain differences and ...
N. Khalefa, N. El-Sheimy
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Dense metal corrosion depth estimation
Frontiers in Physics, 2023 Introduction: Metal corrosion detection is important for protecting lives and property. X-ray inspection systems are widely used because of their good penetrability and visual presentation capability.
Yanping Li +4 more
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Monocular Depth Estimation using Transfer learning-An Overview [PDF]
E3S Web of Conferences, 2021 Depth estimation is a computer vision technique that is critical for autonomous schemes for sensing their surroundings and predict their own condition.
Swaraja K. +8 more
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Lightweight Monocular Depth Estimation
CoRR, 2022 Monocular depth estimation can play an important role in addressing the issue of deriving scene geometry from 2D images. It has been used in a variety of industries, including robots, self-driving cars, scene comprehension, 3D reconstructions, and others.
Ruilin Ma, Shiyao Chen, Qin Zhang
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The Monocular Depth Estimation Challenge
2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), 2023 WACV-Workshops ...
Jaime Spencer +18 more
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Semantic Segmentation Leveraging Simultaneous Depth Estimation
Sensors, 2021 Semantic segmentation is one of the most widely studied problems in computer vision communities, which makes a great contribution to a variety of applications.
Wenbo Sun +5 more
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Depth Estimation with Simplified Transformer
CoRR, 2022 Transformer and its variants have shown state-of-the-art results in many vision tasks recently, ranging from image classification to dense prediction. Despite of their success, limited work has been reported on improving the model efficiency for deployment in latency-critical applications, such as autonomous driving and robotic navigation.
John Yang +4 more
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Underwater Depth Estimation for Spherical Images
Journal of Robotics, 2021 This paper proposes a method for monocular underwater depth estimation, which is an open problem in robotics and computer vision. To this end, we leverage publicly available in-air RGB-D image pairs for underwater depth estimation in the spherical domain
Jiadi Cui +4 more
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