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Bidirectional Pathway Feature Pyramid Networks and Reverse Scale-Transfer Layer for Detecting Mult-Scale Ships

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
Multi-scale ship detection for remote sensing images is always a popular research field in civil and military application. In this paper, in order to solve the feature information single pathway flow in feature layer causes the lack of detailed information in the deep feature layer, we propose a bidirectional pathway feature pyramid networks (BP-FPN ...
Guanhua Jiang   +4 more
openaire   +2 more sources

Bidirectional Feature Pyramid Network with Recurrent Attention Residual Modules for Shadow Detection

2018
This paper presents a network to detect shadows by exploring and combining global context in deep layers and local context in shallow layers of a deep convolutional neural network (CNN). There are two technical contributions in our network design. First, we formulate the recurrent attention residual (RAR) module to combine the contexts in two adjacent ...
Lei Zhu 0003   +6 more
openaire   +1 more source

Construction Vehicle Detection Model Based on Bidirectional-path Cosine Self-attention Feature Pyramid Network

2024 8th International Symposium on Computer Science and Intelligent Control (ISCSIC)
Haiyan Feng, Yanpeng Ji
exaly   +2 more sources

Siamese network with bidirectional feature pyramid for small target tracking

Journal of Electronic Imaging, 2021
Lei Liu   +4 more
openaire   +2 more sources

Augmented weighted bidirectional feature pyramid network for marine object detection

Expert Systems with Applications, 2023
Jinxiong Gao   +4 more
openaire   +1 more source

A recursive attention-enhanced bidirectional feature pyramid network for small object detection

Multimedia Tools and Applications, 2022
Huanlong Zhang   +5 more
openaire   +2 more sources

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