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Combining transformer global and local feature extraction for object detection
Convolutional neural network (CNN)-based object detectors perform excellently but lack global feature extraction and cannot establish global...
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An Efficient Foreign Object Recognition Model in Rail Transit Based on Real-Time Railway Region Extraction and Object Detection
The existing foreign object recognition methods have some limitations, such as imprecise extraction of railway regions and limited real-time...
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Online Multi-Object Tracking Under Moving Unmanned Aerial Vehicle Platform Based on Object Detection and Feature Extraction Network
In order to solve the problem of small object size and low detection accuracy under the unmanned aerial vehicle (UAV) platform, the object detection...
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Small Airborne Object Recognition with Image Processing for Feature Extraction
Drones are no longer being used for benevolent purposes. They are increasingly intruding in the vicinity of strategic national facilities, such as...
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A Robust Cross-Weighted Thresholding Method for Object Extraction in Complex Scenes
Traditional thresholding methods are widely used to extract objects of interest from image backgrounds in various practical applications. However,...
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Group Object Trajectories Extraction in Drone-Based Videos with Dynamic Background
Multiple object trajectory extraction from drone-based videos is a challenging problem due to the dynamic background. In this paper, we propose a...
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Advanced Feature Extraction Workflow for Few Shot Object Recognition
Object recognition is well known to have a high importance in various fields. Example applications are anomaly detection and object sorting. Common...
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Real-time space object tracklet extraction from telescope survey images with machine learning
In this study, a novel approach based on the U-Net deep neural network for image segmentation is leveraged for real-time extraction of tracklets from...
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Performance analysis of surveillance video object detection using LUNET algorithm
Object detection algorithms have applications in various fields, including security, healthcare and defense. Because image-based object detection...
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Industrial object and defect recognition utilizing multilevel feature extraction from industrial scenes with Deep Learning approach
Modern industry requires modern solutions for monitoring the automatic production of goods and detecting defected materials. Smart monitoring of the...
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SCGTracker: object feature embedding enhancement based on graph attention networks for multi-object tracking
Multi-object tracking (MOT) is a task to identify objects in videos, however, objects with similar appearance or occlusion may cause frequent ID...
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Highway Abandoned Object Detection Based on Foreground Extraction
With the development of highways, abandoned objects pose significant threats to driving safety. This paper proposes an abandoned object detection...
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YOLO-VSF: An Improved YOLO Model by Incorporating Attention Mechanism for Object Detection in Traffic Scenes
Intelligent transportation and autonomous driving systems have made urgent demands on the techniques with high performance on object detection in...
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Learning and generalising object extraction skill for contact-rich disassembly tasks: an introductory study
Remanufacturing automation must be designed to be flexible and robust enough to overcome the uncertainties, conditions of the products, and...
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MMFG: Multimodal-based Mutual Feature Gating 3D Object Detection
To address the problem that image and point cloud features are fused in a coarse fusion way and cannot achieve deep fusion, this paper proposes a...
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Reparameterized underwater object detection network improved by cone-rod cell module and WIOU loss
To overcome the challenges in underwater object detection across diverse marine environments—marked by intricate lighting, small object presence, and...
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TFITrack: Transformer Feature Integration Network for Object Tracking
Due to the ignoring of rich spatio-temporal and global contextual information with convolutional neural networks in features extraction, the...
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Surveillance Video-Based Object Detection by Feature Extraction and Classification Using Deep Learning Architecture
As of late, deep learning has accomplished top exhibitions in object recognition undertakings. Be that as it may, continuously, frameworks having...
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High Definition Map Aided Object Detection for Autonomous Driving in Urban Areas
Detecting object locations and semantic classes in an image, such as traffic signs, traffic lights, and guide signs, is the crucial problem for...
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Adaptive learning point cloud and image diversity feature fusion network for 3D object detection
3D object detection is a critical task in the fields of virtual reality and autonomous driving. Given that each sensor has its own strengths and...
