Results 31 to 40 of about 172,393 (261)
Sensors, 2022 Defects are the primary problem affecting steel product quality in the steel industry. The specific challenges in developing detect defectors involve the vagueness and tiny size of defects.
Fityanul Akhyar +2 more
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Learning to Fuse Multiscale Features for Visual Place Recognition
IEEE Access, 2019 Efficient and robust visual place recognition is of great importance to autonomous mobile robots. Recent work has shown that features learned from convolutional neural networks achieve impressed performance with efficient feature size, where most of them
Jun Mao +5 more
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Multi scale switchable atrous convolution for target detection based on feature pyramid [PDF]
MATEC Web of Conferences, 2022 Repeated observation mechanism can effectively solve the problem of low efficiency of feature extraction. By extracting features for many times to strengthen target features, this paper proposed a multi-scale switchable atrous convolution based on ...
Fang Cheng, Hao Ziqiang, Chen Jiaxin
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SSRDet: Small Object Detection Based on Feature Pyramid Network
IEEE Access, 2023 Due to the increasing presence of small objects in videos or images from practical applications, small object identification is currently an extremely popular topic in the field of machine vision. Additionally, small object detection is still a difficult
Lijuan Zhang +4 more
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Cross-Layer Feature Pyramid Network for Salient Object Detection [PDF]
IEEE Transactions on Image Processing, 2021 Feature pyramid network (FPN) based models, which fuse the semantics and salient details in a progressive manner, have been proven highly effective in salient object detection. However, it is observed that these models often generate saliency maps with incomplete object structures or unclear object boundaries, due to the \emph{indirect} information ...
Zun Li +5 more
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IEEE Access, 2018 Unlike single geospatial objects extraction from high-resolution remote sensing images, the task of road extraction faces more challenges, including its narrowness, sparsity, diversity, multiscale characteristics, and class imbalance.
Xun Gao +7 more
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Sensors, 2022 With humanity entering the age of intelligence, text detection technology has been gradually applied in the industry. However, text detection in a complex background is still a challenging problem for researchers to overcome.
Jianjun Kang +2 more
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FPNFuse: A lightweight feature pyramid network for infrared and visible image fusion
IET Image Processing, 2022 A novel deep learning structure of infrared and visible image fusion is proposed. In particular, feature pyramid networks are developed for enhanced feature extraction across multiple convolutional layers.
Zi‐Han Zhang +2 more
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Overcomplete steerable pyramid filters and rotation invariance [PDF]
, 1994 A given (overcomplete) discrete oriented pyramid may be converted into a steerable pyramid by interpolation. We present a technique for deriving the optimal interpolation functions (otherwise called 'steering coefficients').
Anderson, C. H. +5 more
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Video Object Detection With Two-Path Convolutional LSTM Pyramid
IEEE Access, 2020 One of the major challenges in video object detection is drastic scale changes of objects due to camera motion. In this paper, we propose a two-path Convolutional Long Short-Term Memory (convLSTM) pyramid network designed to extract and convey multi ...
Chen Zhang, Joohee Kim
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