Pyramid-Net: Intra-layer Pyramid-Scale Feature Aggregation Network for Retinal Vessel Segmentation [PDF]
Frontiers in Medicine, 2021 Retinal vessel segmentation plays an important role in the diagnosis of eye-related diseases and biomarkers discovery. Existing works perform multi-scale feature aggregation in an inter-layer manner, namely inter-layer feature aggregation.
Jiawei Zhang +16 more
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Video Action Recognition Based on Spatio-Temporal Feature Pyramid Module [PDF]
Jisuanji kexue yu tansuo, 2022 At present, the mainstream 2D convolution neural network method for video action recognition can't extract the relevant information between input frames, which makes it difficult for the network to obtain the spatio-temporal feature information between ...
GONG Suming, CHEN Ying
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Adaptive Feature Pyramid Networks for Object Detection
IEEE Access, 2021 In general object detection, scale variation is always a big challenge. At present, feature pyramid networks are employed in numerous methods to alleviate the problems caused by large scale range of objects in object detection, which makes use of multi ...
Chengyang Wang, Caiming Zhong
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A Scale-Aware Pyramid Network for Multi-Scale Object Detection in SAR Images
Remote Sensing, 2022 Multi-scale object detection within Synthetic Aperture Radar (SAR) images has become a research hotspot in SAR image interpretation. Over the past few years, CNN-based detectors have advanced sharply in SAR object detection. However, the state-of-the-art
Linbo Tang +5 more
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Optical Remote Sensing Image Target Detection Based on Improved Feature Pyramid
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 At present, many deep-convolution-based remote sensing image target detection methods have been developed and have achieved higher detection accuracy and faster detection rate.
Runxi Wei +5 more
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Deep Learning-Based Multiscale Pyramid Sieve and Analysis Module in Image Segmentation
IEEE Access, 2023 Image segmentation is an essential part of remote sensing preprocessing. This paper proposes a deep learning-based multiscale pyramid sieve and analysis module to solve the problems associated with multiscale object coexistence in the complex semantic ...
Di Cao +4 more
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Multi-Level Refinement Feature Pyramid Network for Scale Imbalance Object Detection
IEEE Access, 2021 Object detection becomes a challenge due to diversity of object scales. In general, modern object detectors use feature pyramid to learn multi-scale representation for better results.
Lubna Aziz +5 more
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SSD Object Detection Algorithm with Residual Learning and Cyclic Attention [PDF]
Jisuanji kexue, 2023 To address the problem that the shallow feature semantic information generated in the feature pyramid of Single-Shot Detection is insufficient,resulting in poor performance of small object detection,an SSD object detection algorithm based on resi-dual ...
JIA Tianhao, PENG Li
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Pyramid Attention Upsampling Module for Object Detection
IEEE Access, 2022 The core task of object detection is to extract features of various sizes by hierarchically stacking multi-scale feature maps. However, it is not easy to decide whether we should transmit semantic information to the low layers while reducing the loss of ...
Hyeokjin Park, Joonki Paik
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Feature Learning Improved by Location Guidance and Supervision for Object Detection
IEEE Access, 2021 In recent years, the single-stage detectors have been developed rapidly; however, compared with the multi-stage detectors, their detection precision is still relatively low.
Bingying Li +4 more
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