Adaptively Dense Feature Pyramid Network for Object Detection [PDF]
IEEE Access, 2019 We propose a novel one-stage object detection network, called adaptively dense feature pyramid network (ADFPNet), to detect objects cross various scales.
Haodong Pan, Guangfeng Chen, Jue Jiang
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Adaptive Feature Pyramid Networks for Object Detection [PDF]
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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SEFPN: Scale-Equalizing Feature Pyramid Network for Object Detection [PDF]
Sensors, 2021 Feature Pyramid Network (FPN) is used as the neck of current popular object detection networks. Research has shown that the structure of FPN has some defects.
Zhiqiang Zhang, Xin Qiu, Yongzhou Li
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Enhancing Deep Learning–Based Subabdominal MR Image Segmentation During Rectal Cancer Treatment: Exploiting Multiscale Feature Pyramid Network and Bidirectional Cross-Attention Mechanism [PDF]
International Journal of Biomedical ImagingConclusion: A multiscale feature pyramid network effectively reduces the semantic gap, and the bidirectional cross-attention mechanism facilitates feature alignment between the encoding and decoding stages.
Yu Xiao +3 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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Stereo Matching Network with Multi-Cost Fusion [PDF]
Jisuanji gongcheng, 2022 In stereo matching networks, the feature extraction process is key for improving the accuracy of binocular stereo matching.To extract image feature information, this study combines the characteristics of dense atrous convolution, spatial pyramid pooling,
ZHANG Xiying, WANG Houbo, BIAN Jilong
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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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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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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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Bridge detection method for HSRRSIs based on YOLOv5 with a decoupled head
International Journal of Digital Earth, 2023 The different imaging conditions of high spatial resolution remote sensing images (HSRRSIs) tend to cause large differences in the background information of bridges from the images, including problems of difficult detection of multiscale bridges, leakage
Mulan Qiu, Liang Huang, Bo-Hui Tang
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