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Depth alignment interaction network for camouflaged object detection
Many animals actively change their own characteristics, such as color and texture, through camouflage, a natural defense mechanism, making them...
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Object Detection with Depth Information in Road Scenes
In recent years, depth estimation has witnessed significant advancements because of the development of deep learning. It's important to note that...
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Facial depth forgery detection based on image gradient
With the widespread application of deep learning, many artificially generated fake images and videos appear on the Internet. However, it is difficult...
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Object Detection and Depth Estimation Using Deep Learning
Detection of an object and depth estimation is very crucial in the field of computer vision, facilitating tasks in the field of autonomous...
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Depth-Enhanced Deep Learning Approach For Monocular Camera Based 3D Object Detection
Automatic 3D object detection using monocular cameras presents significant challenges in the context of autonomous driving. Precise labeling of 3D...
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Comparison of detection methods for carbonation depth of concrete
This paper presents comprehensive research of the advantages and applicability of various concrete carbonation detection methods. Employing a...
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Series arc fault detection based on multi-domain depth feature association
In low voltage distribution systems, series arc fault current is small and hidden, and traditional circuit protection devices cannot effectively...
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Density kernel depth for outlier detection in functional data
In this paper, we propose a novel approach to address the problem of functional outlier detection. Our method leverages a low-dimensional and stable...
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A laser-assisted depth detection method for underwater monocular vision
Underwater target three-dimensional detection is crucial for effectively recognizing and acquiring target information in complex water rings. The...
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Depth context aggregation network for camouflaged object detection
Camouflaged object detection (COD) intends to find concealed objects hidden in the surroundings. COD is challenging for it has to discriminate the...
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UCorr: Wire Detection and Depth Estimation for Autonomous Drones
In the realm of fully autonomous drones, the accurate detection of obstacles is paramount to ensure safe navigation and prevent collisions. Among...
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MonoSAID: Monocular 3D Object Detection based on Scene-Level Adaptive Instance Depth Estimation
Monocular 3D object detection (Mono3OD) is a challenging yet cost-effective vision task in the fields of autonomous driving and mobile robotics. The...
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L-SSD: lightweight SSD target detection based on depth-separable convolution
The current target detection algorithm based on deep learning has many redundant convolution calculations, which are difficult to apply to low-energy...
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A Novel Edge-Inspired Depth Quality Evaluation Network for RGB-D Salient Object Detection
Recently, the pair of RGB images and depth images, which is denoted as RGB-D images, are introduced to improve the performances of salient object...
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Estimating Detection Depth of Hydrodynamic Structures in Water through Above-Surface Optical Information Analysis
AbstractWe describe a method for estimating detection depth of underwater hydrodynamic structures in above-water optical data. In situ and remote...
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Plant disease detection using a depth-wise separable-based adaptive deep neural network
The study of agriculture has grown significantly, and the detection of plant diseases is a significant area of concern. Early detection reduces the...
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Accuracy and depth evaluation of clinical low pass genome sequencing in the detection of mosaic aneuploidies and CNVs
BackgroundLow-pass genome sequencing (LP GS) has shown distinct advantages over traditional methods for the detection of mosaicism. However, no study...
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Regional-residual depth estimation and edge detection characterization over the southern Kibi–Winneba belt, Ghana using aeromagnetic data
An essential procedure that facilitates the analysis and interpretation of magnetic anomalies is the use of data enhancement and filtering approaches...
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Salient object detection for RGBD video via spatial interaction and depth-based boundary refinement
Recently proposed state-of-the-art saliency detection models rely heavily on labeled datasets and rarely focus on perfect RGBD feature fusion, which...
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Depth over RGB: automatic evaluation of open surgery skills using depth camera
PurposeIn this paper, we present a novel approach to the automatic evaluation of open surgery skills using depth cameras. This work is intended to...
