Articles with "small objects" as a keyword



Calculating potential error in sodium MRI with respect to the analysis of small objects

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Published in 2018 at "Magnetic Resonance in Medicine"

DOI: 10.1002/mrm.26962

Abstract: To facilitate correct interpretation of sodium MRI measurements, calculation of error with respect to rapid signal decay is introduced and combined with that of spatially correlated noise to assess volume‐of‐interest (VOI) 23Na signal measurement inaccuracies,… read more here.

Keywords: error; small objects; sodium mri; respect ... See more keywords

HayCAMJ: A new method to uncover the importance of main filter for small objects in explainable artificial intelligence

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Published in 2024 at "Neural Computing and Applications"

DOI: 10.1007/s00521-024-09640-y

Abstract: Visual XAI methods enable experts to reveal importance maps highlighting intended classes over input images. This research paper presents a novel approach to visual explainable artificial intelligence (XAI) for object detection in deep learning models.… read more here.

Keywords: importance; method; artificial intelligence; small objects ... See more keywords
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Multirotor-assisted measurements of wind-induced drift of irregularly shaped objects in aquatic environments

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Published in 2021 at "Applied Ocean Research"

DOI: 10.1016/j.apor.2021.102538

Abstract: Abstract Ocean hazardous spills and search and rescue incidents are becoming more prevalent as maritime activities increase across all sectors of society. However, emergency response time remains a factor due to the lack of information… read more here.

Keywords: multirotor; small objects; water; surface ... See more keywords
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EFCNet for small object detection in remote sensing images

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Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-09066-z

Abstract: Object detection, as a crucial component of remote sensing image processing, has become one of the primary methods with the maturation of deep learning technologies. Nonetheless, detecting small objects in remote sensing images remains a… read more here.

Keywords: detection; object detection; remote sensing; small objects ... See more keywords

SFD-IAFNet: 3D detection method for vehicle small objects based on multi-scale feature enhancement and cross-modal interlaced attention

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Published in 2025 at "Measurement Science and Technology"

DOI: 10.1088/1361-6501/ae0065

Abstract: 3D object detection is critical for autonomous driving, enabling precise obstacle localization to support navigation and decision-making. However, detecting small objects remains challenging due to sparse point clouds and suboptimal multimodal fusion. To address these… read more here.

Keywords: detection; fusion; interlaced attention; point ... See more keywords

Inducing and controlling rotation on small objects using photonic topological materials

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Published in 2018 at "Physical Review B"

DOI: 10.1103/physrevb.98.144101

Abstract: Photonic topological insulator plates violate Lorentz reciprocity, which leads to a directionality of surfaceguided modes. This in-plane directionality can be imprinted via an applied magnetic field. On the basis of macroscopic quantum electrodynamics in nonreciprocal… read more here.

Keywords: rotation small; photonic topological; small objects; magnetic field ... See more keywords

DS-YOLOv7: Dense Small Object Detection Algorithm for UAV

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Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3400613

Abstract: Modern unmanned aerial vehicle (UAV) reconnaissance is widely used. UAV equipped with FPV camera can realize the reconnaissance of dense small objects with the help of object detection technology. However, it is difficult to detect… read more here.

Keywords: object detection; dense small; dense; small objects ... See more keywords

SOE-YOLO: A Small-Object Enhancement Detection Network

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Published in 2025 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2025.3568844

Abstract: With the development of deep convolutional neural networks, significant progress has been made in object detection over the past few years. Current detection algorithms demonstrate high accuracy for large- and medium-sized objects. However, the detection… read more here.

Keywords: detection; object enhancement; small objects; small object ... See more keywords

Capturing Small Objects and Edges Information for Cross-Sensor and Cross-Region Land Cover Semantic Segmentation in Arid Areas

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Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2022.3232409

Abstract: In the oasis area adjacent to the desert, there is more complex land cover information with rich details, multiscales of interest objects, and blur edge information, which poses some challenges to the semantic segmentation task… read more here.

Keywords: information; semantic segmentation; cross; small objects ... See more keywords

OLCN: An Optimized Low Coupling Network for Small Objects Detection

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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2021.3122190

Abstract: In remotely sensed images, it is quite common to run into small objects, such as cars and small storage tanks. However, these small objects are quite easy to get ignored because of the positioning difficulty.… read more here.

Keywords: objects detection; coupling network; low coupling; detection ... See more keywords

Find Small Objects in UAV Images by Feature Mining and Attention

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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2022.3220661

Abstract: With the increasing popularity of unmanned aerial vehicles (UAVs), the accuracy of detecting small objects in large-view images is also expected to increase. However, accurate small object detection is still a challenging problem. Currently, image… read more here.

Keywords: objects uav; images feature; uav images; find small ... See more keywords