Context-guided feature enhancement network for automatic check-out
Sign Up to like & getrecommendations! 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
Fault diagnosis of rolling bearings based on impulse feature enhancement and time-frequency joint noise reduction
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Cloud-EGAN: Rethinking CycleGAN From a Feature Enhancement Perspective for Cloud Removal by Combining CNN and Transformer
Sign Up to like & getrecommendations! 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
Fine-Grained Feature Enhancement for Object Detection in Remote Sensing Images
Sign Up to like & getrecommendations! 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
LFEformer: Local Feature Enhancement Using Sliding Window With Deformability for Automatic Speech Recognition
Sign Up to like & getrecommendations! 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
Privacy-Preserving Video Fall Detection via Chaotic Compressed Sensing and GAN-Based Feature Enhancement
Sign Up to like & getrecommendations! Published in 2022 at "IEEE MultiMedia"
DOI: 10.1109/mmul.2022.3173335
Abstract: Currently, falling is the primary cause of injury and death of the elderly due to accidents, which seriously threatens the health and life of the elderly. Considering the phenomenon of video privacy disclosure in recent… read more here.
Keywords: privacy; fall; fall detection; feature enhancement ... See more keywords
Multiscale Feature Enhancement Network for Salient Object Detection in Optical Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3224815
Abstract: Salient object detection (SOD) in optical remote sensing images (RSIs) is a valuable and challenging task. Although many SOD methods for RSIs have been proposed, there are still some problems, such as insufficient feature extraction,… read more here.
Keywords: feature enhancement; remote sensing; salient object; feature ... See more keywords
Feature Enhancement Based on Regular Sparse Model for Planetary Gearbox Fault Diagnosis
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3176244
Abstract: The planetary gearbox, widely used in many machinery fields, suffers from harmful vibration excited by bearings fault, which always causes machine breakdowns. Thus, fault diagnosis is the necessary approach to keeping machines safe, which often… read more here.
Keywords: diagnosis; feature enhancement; fault; planetary gearbox ... See more keywords
Blind Image Quality Measurement via Data-Driven Transform-Based Feature Enhancement
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3191661
Abstract: Blind image quality measurement (BIQM) attempts to measure image perceptual quality in the absence of reference ones. Based on the types of features, BIQM methods can be divided into two categories: hand-crafted features and learning-based… read more here.
Keywords: measurement; quality; feature enhancement; image ... See more keywords