Multi-scale feature pyramid network with bidirectional attention for efficient mural image classification. [PDF]
PLoS ONEMural image recognition plays a critical role in the digital preservation of cultural heritage; however, it faces cross-cultural and multi-period style generalization challenges, compounded by limited sample sizes and intricate details, such as losses ...
Shulan Wang +3 more
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Early breast cancer detection in CT scans using convolutional neural bidirectional feature pyramid network [PDF]
PeerJ Computer ScienceBreast cancer is one of the leading causes of death among women worldwide. Early detection plays a crucial role in reducing mortality rates. While mammography is a widely used diagnostic tool, computed tomography (CT) scans are increasingly being ...
Tahani Jaser Alahmadi +5 more
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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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Bidirectional Parallel Feature Pyramid Network for Object Detection
IEEE Access, 2022 State-of-the-art Feature Pyramid Networks (FPNs) often focus on extracting features across different levels. In this paper, we propose a novel architecture, Bidirectional Parallel Feature Pyramid Network (BPFPN), to capture multi-scale spatial ...
Zhengning Zhang +4 more
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A traffic sign detection model based on coordinate attention - bidirectional feature pyramid network
Shenzhen Daxue xuebao. Ligong ban, 2023 In the field of autonomous driving, the correct detection of traffic signs can provide important information for environmental perception. To address the low recognition rate and misdetection and missed detection issues of various traffic signs, we ...
LANG Binke +3 more
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OTB-YOLO: An Enhanced Lightweight YOLO Architecture for UAV-Based Maize Tassel Detection [PDF]
PlantsTo tackle the challenges posed by substantial variations in target scale, intricate background interference, and the likelihood of missing small targets in multi-temporal UAV maize tassel imagery, an optimized lightweight detection model derived from ...
Yu Han +7 more
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DronesUAV remote sensing (RS) image object detection is a very valuable and challenging technology. This article discusses the importance of key features and proposes an object detection network (URSNet) based on a bidirectional multi-span feature pyramid and ...
Heng Zhang +5 more
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Defence Technology, 2021 In this paper, based on a bidirectional parallel multi-branch feature pyramid network (BPMFPN), a novel one-stage object detector called BPMFPN Det is proposed for real-time detection of ground multi-scale targets by swarm unmanned aerial vehicles (UAVs).
Lei Fu +5 more
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EBS-YOLO: edge-optimized bidirectional spatial feature augmentation for in-field detection of wheat Fusarium head blight epidemics [PDF]
Plant MethodsFusarium head blight (FHB), caused by the Fusarium species complex, significantly endangers wheat yield and safety. Accurate and timely assessment of FHB epidemic level in the field is crucial for effective disease management.
Rui Mao +6 more
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Frontiers in NeuroroboticsIntroductionAs an interactive method gaining popularity, brain-computer interfaces (BCIs) aim to facilitate communication between the brain and external devices.
Xinghe Xie +5 more
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