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Published in 2024 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2024.2403622
Abstract: ABSTRACT Hyperspectral images (HSIs) are rich in spatial and spectral information, making them crucial for accurate classification. While existing convolutional neural network (CNN) methods have shown promise in HSI classification, they primarily focus on local…
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Keywords:
classification;
fusion network;
local global;
feature fusion ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2930536
Abstract: Authorship attribution (AA) is a stylometric analysis task of finding the author of an anonymous/disputed text document. In AA, the performance improvement of class-based feature selection schemas, such as Chi-square, and Gini index over frequency-based…
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Keywords:
feature selection;
feature;
topic;
authorship attribution ... See more keywords
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2
Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3241979
Abstract: Target tracking is one of the challenging tasks in computer vision. Usually, the center of target origins from the position with the largest response value, and the key to improving tracking performance is to learn…
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Keywords:
global feature;
feature;
comparison;
feature comparison ... See more keywords
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Published in 2025 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2025.3525511
Abstract: Effectively selecting high-quality feature from each vehicle for fusion is crucial for collaborative perception performance. However, the uncertain differences in the perceptual ranges of each vehicle pose a challenge to fusion. Current fusion methods typically…
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Keywords:
fusion;
stage;
fusion method;
feature ... See more keywords
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Published in 2025 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2024.3523226
Abstract: Due to the high-luminance (HL) background clutter in infrared (IR) images, the existing IR small target detection methods struggle to achieve a good balance between efficiency and performance. Addressing the issue of HL clutter, which…
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Keywords:
small target;
target detection;
local global;
feature ... See more keywords
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Published in 2024 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2023.3343949
Abstract: Recent advanced trackers, composed of discriminative classification and dedicated bounding box estimation, have achieved remarkable advancements in performance of visual object tracking. However, existing methods cannot satisfy the demands of tracking tasks in complex scenes,…
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Keywords:
classification;
scale classification;
multi scale;
feature ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3105551
Abstract: Point cloud completion aims to reconstruct complete point clouds from partial point clouds, which is widely used in various fields such as autonomous driving and robotics. Most existing methods are sparse point cloud completion, where…
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Keywords:
point clouds;
global feature;
cloud completion;
point cloud ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3229361
Abstract: Hyperspectral images (HSIs) are generally distorted by various types of damage and degradation due to limited imaging conditions. Hence, noise reduction is an essential process before HSI interpretations and applications. In this article, a novel…
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Keywords:
global feature;
aware transformer;
local global;
feature ... See more keywords
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0
Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2024.3497186
Abstract: Accurate automatic segmentation of breast lesions in ultrasound images is a challenging auxiliary diagnostic task for automated deployment in breast cancer screening. In this study, a contrastive learning-based global feature aggregation network (GFA-Net) is proposed…
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Keywords:
breast;
segmentation;
ultrasound images;
contrastive learning ... See more keywords
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Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2025.3551136
Abstract: Intelligent monitoring and fault diagnosis of photovoltaic (PV) grid-connected inverters are important. However, the accuracy of traditional fault diagnosis methods is challenged due to multiple data imbalances. To address this unique challenge, this study proposes…
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Keywords:
grid connected;
global feature;
fault diagnosis;
fault ... See more keywords
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Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2025.3576957
Abstract: Using advanced object detection technology, drones can achieve long distance, efficient monitoring, and target recognition, which are widely applied in fields such as military, agriculture, and rescue works. However, object detection based on unmanned aerial…
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Keywords:
detection;
object detection;
lightweight adaptive;
adaptive global ... See more keywords