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Deformable Feature Pyramid Network for Ship Recognition
2018Ship recognition under complex sea environment and weather condition is a challenging task because the ship appearances change greatly, especially under large geometric transformation. The original feature pyramid network (FPN) [4] does not achieve good performance if it is implemented on ship detection directly, because it uses the fixed geometric ...
Yao Ding +3 more
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Dynamic Feature Pyramid Networks for Detection
2022 IEEE International Conference on Multimedia and Expo (ICME), 2022Kai Zhang +8 more
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Deep Feature Pyramid Network for Eeg Emotion Recognition
SSRN Electronic Journal, 2022Fazheng Hou +6 more
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Parallel Feature Pyramid Network for Object Detection
2018Recently developed object detectors employ a convolutional neural network (CNN) by gradually increasing the number of feature layers with a pyramidal shape instead of using a featurized image pyramid. However, the different abstraction levels of CNN feature layers often limit the detection performance, especially on small objects.
Seung-Wook Kim +4 more
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Proportional Feature Pyramid Network for Lane Detection
2023 4th International Conference on Computer, Big Data and Artificial Intelligence (ICCBD+AI), 2023Jiapeng Hui +4 more
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Enhanced-feature pyramid network for semantic segmentation
2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), 2023Van Toan Quyen +2 more
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Enhanced feature pyramidal network for object detection
Journal of Electronic Imaging, 2022Mingwen Shao +3 more
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Latent Feature Pyramid Network for Object Detection
IEEE Transactions on Multimedia, 2023Jin Xie +4 more
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Towards Disturbance Rejection in Feature Pyramid Network
IEEE Transactions on Artificial Intelligence, 2023Xiaobo Hu +4 more
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Weighted Parallel Decoupled Feature Pyramid Network for Object Detection
Neurocomputing, 2023Bo Han +4 more
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