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   Articles with "feature enhancement" as a keyword



MGMFormer: Multi‐Scale Attentional Medical Image Segmentation Network for Semantic Feature Enhancement

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recommendations! Published in 2025 at "International Journal of Imaging Systems and Technology"

DOI: 10.1002/ima.70086

Abstract: Multi‐scale feature extraction is important for the accurate segmentation of different lesion areas. In order to solve the problem of false cut and missing cut in practical applications due to the difficulty of extracting semantic… read more here.

Keywords: segmentation; multi scale; feature enhancement; network ... See more keywords

Context-guided feature enhancement network for automatic check-out

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recommendations! Published in 2021 at "Neural Computing and Applications"

DOI: 10.1007/s00521-021-06394-9

Abstract: Powered by deep learning technology, automatic check-out (ACO) has made great breakthroughs. Nevertheless, because of the complex nature of real scenes, ACO is still an exceedingly testing task in the field of computer vision. Existing… read more here.

Keywords: feature; context; context guided; guided feature ... See more keywords
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Fault diagnosis of rolling bearings based on impulse feature enhancement and time-frequency joint noise reduction

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recommendations! Published in 2021 at "Journal of Mechanical Science and Technology"

DOI: 10.1007/s12206-021-0411-9

Abstract: Aiming at the problem that the effectiveness of impulse feature enhancement (IFE) depends on the duration of high-level (or low-level) K and the number of high-level L, we regard a segmented impulse norm as the… read more here.

Keywords: joint noise; frequency joint; time frequency; noise ... See more keywords

A novel strategy for signal denoising using reweighted SVD and its applications to weak fault feature enhancement of rotating machinery

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recommendations! Published in 2017 at "Mechanical Systems and Signal Processing"

DOI: 10.1016/j.ymssp.2017.02.036

Abstract: Abstract Singular value decomposition (SVD), as an effective signal denoising tool, has been attracting considerable attention in recent years. The basic idea behind SVD denoising is to preserve the singular components (SCs) with significant singular… read more here.

Keywords: fault feature; feature; weak fault; signal denoising ... See more keywords

Modified Bilateral Filter for Feature Enhancement in Mesh Denoising

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3176961

Abstract: Mesh models resulting from scanners are inevitably noisy; hence, removing the noise in scanned meshes becomes an essential task in the services using three-dimensional mesh models. Filtering-based methods are simple but have some constraints in… read more here.

Keywords: mesh; noise; feature enhancement; filter ... See more keywords

Effective Anchor Adaptation and Feature Enhancement Strategies for Tiny Object Detection in Aerial Images

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3401397

Abstract: In recent years, research based on anchor-based two-stage detectors has achieved great performance improvements in aerial object detection tasks. However, they still have two significant problems in the detection of tiny objects: 1) The preset… read more here.

Keywords: anchor adaptation; enhancement strategies; object detection; feature enhancement ... See more keywords

Multigranularity Feature Enhancement for Robust Remote Sensing Ship Classification

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recommendations! Published in 2025 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2025.3566041

Abstract: Ship classification plays a critical role in civilian applications such as environmental monitoring and maritime navigation. While existing methods achieve high accuracy with high-resolution images captured under ideal conditions, their performance deteriorates significantly in uncontrolled… read more here.

Keywords: classification; multigranularity feature; feature enhancement; ship classification ... See more keywords

Cloud-EGAN: Rethinking CycleGAN From a Feature Enhancement Perspective for Cloud Removal by Combining CNN and Transformer

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

DOI: 10.1109/jstars.2023.3280947

Abstract: Cloud cover presents a major challenge for geoscience research of remote sensing images with thick clouds causing complete obstruction with information loss while thin clouds blurring the ground objects. Deep learning (DL) methods based on… read more here.

Keywords: feature enhancement; cloud removal; cloud egan; feature ... See more keywords
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Fine-Grained Feature Enhancement for Object Detection in Remote Sensing Images

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

DOI: 10.1109/lgrs.2022.3163161

Abstract: Recently, object detection in aerial images has ushered in a new challenge—a new benchmark for fine-grained object recognition in high-resolution remote sensing imagery called FAIR1M has been proposed. Fine-grained categories usually have smaller inter class… read more here.

Keywords: remote sensing; object detection; feature; fine grained ... See more keywords

Feature Enhancement With Reverse Distillation for Hyperspectral Anomaly Detection

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recommendations! Published in 2024 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2024.3456178

Abstract: Most hyperspectral anomaly detection methods based on trainable parameter networks require parameter adjustments or retraining on new test scenes, resulting in high time consumption and unstable performance, limiting their practicality in large-scale anomaly detection scenarios.… read more here.

Keywords: detection; hyperspectral anomaly; anomaly detection; feature enhancement ... See more keywords

LFEformer: Local Feature Enhancement Using Sliding Window With Deformability for Automatic Speech Recognition

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recommendations! Published in 2023 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2023.3241558

Abstract: A module using sliding window with deformablity, abbreviated as SWD, has been proposed for local feature enhancement. In particular, the proposed SWD module adopts windows with variable size based on the depth of the embedded… read more here.

Keywords: automatic speech; feature enhancement; using sliding; sliding window ... See more keywords