Apr 23, 2021 · We propose a Laplacian feature pyramid (FP) network (LFPN) considering both low-frequency features and high-frequency features based on FP structure.
Due to the fact that the Laplacian pyramid consists of high-frequency information at each level, we propose a Laplacian feature pyramid (FP) network (LFPN) ...
To evaluate the performance of. LFPN, we embed LFPN into both two-stage object detection. (T-LFPN) and single-stage object detection (S-LFPN) systems and ...
[TGRS] Laplacian Feature Pyramid Network for Object Detection in VHR Optical Remote Sensing Images; [NCAA] Hilbert sEMG data scanning for hand gesture ...
Mar 15, 2023 · A new feature pyramid network is proposed for remote sensing images detection. Reducing the channel information loss for remote sensing images using Pixel ...
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2022: Laplacian Feature Pyramid Network for Object Detection in VHR Optical Remote Sensing Images IEEE Transactions on Geoscience and Remote Sensing 60: 1-14 ...
Laplacian Feature Pyramid Network for Object Detection in VHR Optical Remote Sensing Images. Article. Jan 2022. Wenhua Zhang · Licheng Jiao · Yuxuan Li ...
Mar 15, 2023 · Feature pyramid networks are widely applied in remote sensing images for object detection to deal with the challenge of large scale ...
An effective region-based VHR remote sensing imagery object detection framework named Double Multi-scale Feature Pyramid Network (DM-FPN) was proposed in this ...
Object detection on very-high-resolution (VHR) remote sensing imagery has attracted a lot of attention in the field of image automatic interpretation.