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Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-024-83561-7
Abstract: To achieve real-time monitoring and intelligent maintenance of transformers, a framework based on deep vision and digital twin has been developed. An enhanced visual detection model, DETR + X, is proposed, implementing multidimensional sample data augmentation through…
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Keywords:
maintenance;
detr;
digital twin;
model ... See more keywords
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Published in 2024 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/ada399
Abstract: During microarc oxidation (MAO), the unique characteristics of the discharge spark have a profound effect on the morphology, structure and surface properties of the oxide film. However, due to the high-pressure environment and the complexity…
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Keywords:
detection;
technology;
discharge spark;
research micro ... See more keywords
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Published in 2025 at "Physica Scripta"
DOI: 10.1088/1402-4896/addd70
Abstract: Traffic sign detection refers to accurately perceiving and locating traffic signs in driving scenes, which is crucial for safe autonomous driving. However, existing detection models perform poorly in detecting small objects due to the inherently…
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Keywords:
detection;
detr;
traffic sign;
sign detection ... See more keywords
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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3575189
Abstract: In light of the shortcomings pertaining to UAV small target detection, the detection of complex scenes, and the detection of multi-scale targets, a time-frequency dual-domain feature extraction algorithm, TF-DETR, has been proposed. This algorithm has…
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Keywords:
detection;
target detection;
detr;
improved uav ... See more keywords
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Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2025.3597820
Abstract: Infrared maritime object detection is a crucial technology for sea surface monitoring in low-light conditions within maritime Internet of Things (IoT) systems. In practical applications, this task faces significant challenges, including diverse target sizes and…
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Keywords:
detection;
object detection;
infrared maritime;
detr ... See more keywords
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Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2025.3530141
Abstract: Aircraft target detection in remote sensing images faces numerous challenges, including target size variations, low resolution, and complex backgrounds. To address these challenges, an enhanced end-to-end aircraft detection framework (DIMD-DETR) is developed based on an…
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Keywords:
detection;
end;
detr;
remote sensing ... See more keywords
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Published in 2025 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2025.3560769
Abstract: Underwater sonar imagery is characterized by small target sizes and low resolution, which can result in detection failures or false positives. To counteract these challenges, we introduce the underwater sonar detection transformer (US-DETR), an underwater…
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Keywords:
detection;
detr;
underwater sonar;
sonar image ... See more keywords
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Published in 2025 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2025.3626363
Abstract: Remote sensing object detection (RSOD) faces persistent challenges in multiscale target identification due to insufficient feature utilization. To address this, we propose AMPE-DETR, a multiscale detection framework based on RT-DETR-l with three innovations: multiscale feature…
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Keywords:
remote sensing;
detr;
object detection;
ampe detr ... See more keywords
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Published in 2024 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2024.3487833
Abstract: Prohibited item detection in X-ray images is one of the most essential and highly effective methods widely employed in various security inspection scenarios. Considering the significant overlapping phenomenon in X-ray prohibited item images, we propose…
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Keywords:
detection;
prohibited items;
ray prohibited;
detr ... See more keywords
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Published in 2022 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2022.3216514
Abstract: DEtection TRansformer (DETR) for object detection reaches competitive performance compared with Faster R-CNN via a transformer encoder-decoder architecture. However, trained with scratch transformers, DETR needs large-scale training data and an extreme long training schedule even…
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Keywords:
unsupervised pre;
detr;
detection;
query ... See more keywords
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Published in 2025 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.34.6.063019
Abstract: Abstract. Infrared small target images typically suffer from low contrast and a poor signal-to-noise ratio, making accurate object detection highly challenging. Although methods based on convolutional neural networks have made great progress on infrared small…
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Keywords:
detr;
small target;
infrared small;
target detection ... See more keywords