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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…
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Keywords:
shot learning;
feature;
support;
local feature ... See more keywords
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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…
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Keywords:
feature detectors;
pathology;
registration;
performance ... See more keywords
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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…
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Keywords:
feature;
mammography images;
breast tissue;
diagnosis breast ... See more keywords
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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…
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Keywords:
video;
feature;
multimedia video;
feature indexing ... See more keywords
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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,…
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Keywords:
video stabilization;
video;
detection;
local feature ... See more keywords
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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…
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Keywords:
attention;
point;
point cloud;
neural network ... See more keywords
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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…
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Keywords:
multi scale;
scale attention;
structural relation;
feature ... See more keywords
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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…
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Keywords:
transformer based;
remote sensing;
object detection;
local feature ... See more keywords
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1
Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3157051
Abstract: In this letter, we propose a new local feature-based method for the detection of infrared small targets with the density feature map that can effectively suppress noise in the feature domain. First, we combine the…
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Keywords:
feature based;
feature;
density;
target ... See more keywords
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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…
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Keywords:
automatic speech;
feature enhancement;
using sliding;
sliding window ... See more keywords
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Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3196319
Abstract: Unmanned aerial vehicles (UAVs) have been widely used in postdisaster search and rescue operations, object tracking, and other tasks. Therefore, the autonomous perception of UAVs based on computer vision has become a research hotspot in…
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Keywords:
network;
detection;
object detection;
local feature ... See more keywords