Multi-local feature relation network for few-shot learning
Sign Up to like & getrecommendations! Published in 2022 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-06840-8
Abstract: Recently, few-shot learning has received considerable attention from researchers. Compared to deep learning, which requires abundant data for training, few-shot learning only requires a few labeled samples. Therefore, few-shot learning has been extensively used in… read more here.
Keywords: shot learning; feature; support; local feature ... See more keywords
Performance Evaluation of State-of-the-Art Local Feature Detectors and Descriptors in the Context of Longitudinal Registration of Retinal Images
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Medical Systems"
DOI: 10.1007/s10916-018-0911-z
Abstract: In this paper we systematically evaluate the performance of several state-of-the-art local feature detectors and descriptors in the context of longitudinal registration of retinal images. Longitudinal (temporal) registration facilitates to track the changes in the… read more here.
Keywords: feature detectors; pathology; registration; performance ... See more keywords
Diagnosis of breast tissue in mammography images based local feature descriptors
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-6390-x
Abstract: Breast cancer is one of the leading causes of death by cancer among women. The high mortality rates and the occurrence of this cancer worldwide show the importance of the investigation and development of means… read more here.
Keywords: feature; mammography images; breast tissue; diagnosis breast ... See more keywords
Research on local feature indexing of multimedia video based on intelligent soft computing
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-07770-3
Abstract: Aiming at the problems of poor precision and recall, long retrieval time and high energy consumption in current video image indexing methods, a local feature indexing method for multimedia video based on intelligent soft computing… read more here.
Keywords: video; feature; multimedia video; feature indexing ... See more keywords
Combination of local feature detection methods for digital video stabilization
Sign Up to like & getrecommendations! Published in 2018 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-018-1307-8
Abstract: Technological advances in compact and portable cameras have enabled the generation of large volumes of video sequences. However, videos captured by amateurs are subject to unwanted vibrations due to camera shaking. To overcome such problem,… read more here.
Keywords: video stabilization; video; detection; local feature ... See more keywords
GAPNet: Graph Attention based Point Neural Network for Exploiting Local Feature of Point Cloud
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.01.095
Abstract: Exploiting fine-grained semantic features on point cloud is still challenging due to its irregular and sparse structure in a non-Euclidean space. Among existing studies, PointNet provides an efficient and promising approach to learn shape features… read more here.
Keywords: attention; point; point cloud; neural network ... See more keywords
Local feature acquisition and global context understanding network for very high-resolution land cover classification
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-63363-7
Abstract: Very high-resolution remote sensing images hold promising applications in ground observation tasks, paving the way for highly competitive solutions using image processing techniques for land cover classification. To address the challenges faced by convolutional neural… read more here.
Keywords: local feature; network; feature; land cover ... See more keywords
Fault diagnosis of complex industrial equipment based on chunked statistical global-local feature fusion
Sign Up to like & getrecommendations! Published in 2024 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/ad688e
Abstract: Industrial process equipment is bulky and complex in structure, which is easy to produce faults during operation and affect production efficiency, cause huge economic losses, and even threaten the safety of workers. To achieve sustainable… read more here.
Keywords: global local; local feature; equipment; feature fusion ... See more keywords
Multi-Scale Attention and Structural Relation Graph for Local Feature Matching
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3215168
Abstract: Building a dense correspondence between two images is a fundamental vision problem. Most existing methods use local features, but global features cannot be ignored. Local features are often not enough to disambiguate similar regions without… read more here.
Keywords: multi scale; scale attention; structural relation; feature ... See more keywords
Intelligent Fault Diagnosis for Nonlinear Uncertain Industrial Processes Based on Simplified Interval Kernel Global–Local Feature Embedding
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2023.3349296
Abstract: The data collected during industrial are uncertain due to the interference of various factors and are usually represented by intervals. However, the developed interval principal component analysis (PCA) is a linear monitoring algorithm that performs… read more here.
Keywords: global local; interval kernel; local feature; fault diagnosis ... See more keywords
Dual Network Structure With Interweaved Global-Local Feature Hierarchy for Transformer-Based Object Detection in Remote Sensing Image
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3198577
Abstract: Frequent and accurate object detection based on remote sensing images is an encouraging approach for monitoring dynamic of the interest object on earth surface. Transformer-based object detection was recently developed to cope with the tradeoff… read more here.
Keywords: transformer based; remote sensing; object detection; local feature ... See more keywords