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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Adversarial Patch Attacks on Monocular Depth Estimation Networks [PDF]
IEEE Access, 2020 Thanks to the excellent learning capability of deep convolutional neural networks (CNN), monocular depth estimation using CNNs has achieved great success in recent years.
Koichiro Yamanaka +3 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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Deep Learning-Based Monocular Depth Estimation Methods—A State-of-the-Art Review
Sensors, 2020 Monocular depth estimation from Red-Green-Blue (RGB) images is a well-studied ill-posed problem in computer vision which has been investigated intensively over the past decade using Deep Learning (DL) approaches. The recent approaches for monocular depth
Faisal Khan +2 more
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Unsupervised Monocular Depth Estimation Method Based on Uncertainty Analysis and Retinex Algorithm
Sensors, 2020 Depth estimation of a single image presents a classic problem for computer vision, and is important for the 3D reconstruction of scenes, augmented reality, and object detection.
Chuanxue Song +3 more
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Monocular Depth Estimation via Self-Supervised Self-Distillation [PDF]
SensorsSelf-supervised monocular depth estimation can exhibit excellent performance in static environments due to the multi-view consistency assumption during the training process.
Haifeng Hu +4 more
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Joint Soft–Hard Attention for Self-Supervised Monocular Depth Estimation [PDF]
Sensors, 2021 In recent years, self-supervised monocular depth estimation has gained popularity among researchers because it uses only a single camera at a much lower cost than the direct use of laser sensors to acquire depth.
Chao Fan +4 more
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A Monocular Depth Estimation Method for Autonomous Driving Vehicles Based on Gaussian Neural Radiance Fields [PDF]
SensorsMonocular depth estimation is one of the key tasks in autonomous driving, which derives depth information of the scene from a single image. And it is a fundamental component for vehicle decision-making and perception.
Ziqin Nie +5 more
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A simple monocular depth estimation network for balancing complexity and accuracy [PDF]
Scientific ReportsMonocular depth estimation plays a crucial role in many downstream visual tasks. Although research on monocular depth estimation is relatively mature, it commonly involves strategies that entail increasing both the computational complexity and the number
Xuanxuan Liu +5 more
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AMENet is a monocular depth estimation network designed for automatic stereoscopic display [PDF]
Scientific ReportsMonocular depth estimation has a wide range of applications in the field of autostereoscopic displays, while accuracy and robustness in complex scenes are still a challenge.
Tianzhao Wu +4 more
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