Results 1 to 10 of about 2,914 (147)

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, Lin Zhang, Yue Wang, Pengming Feng, Baochen Sun   +4 more
doaj   +5 more sources

Research on Bidirectional Multi-Span Feature Pyramid and Key Feature Capture Object Detection Network

Drones
UAV 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, Faming Shao, Xiaohui He, Dewei Zhao, Zihan Zhang, Tao Zhang   +5 more
doaj   +4 more sources

Early breast cancer detection in CT scans using convolutional neural bidirectional feature pyramid network [PDF]

PeerJ Computer Science
Breast 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, Adeel Ahmed, Amjad Rehman, Abeer Rashad Mirdad, Bayan Al Ghofaily, Shehryar Ali   +5 more
doaj   +5 more sources

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, LÜ Bin, WU Jianqing, WU Ruinian   +3 more
doaj   +2 more sources

Bidirectional parallel multi-branch convolution feature pyramid network for target detection in aerial images of swarm UAVs

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, Wen-bin Gu, Wei Li, Liang Chen, Yong-bao Ai, Hua-lei Wang   +5 more
doaj   +3 more sources

Multi-scale feature pyramid network with bidirectional attention for efficient mural image classification

PLoS ONE
Mural 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, Siyu Liu, Mengting Jin, Pingmei Fan   +3 more
doaj   +4 more sources

Enhancing Deep Learning–Based Subabdominal MR Image Segmentation During Rectal Cancer Treatment: Exploiting Multiscale Feature Pyramid Network and Bidirectional Cross-Attention Mechanism

International Journal of Biomedical Imaging
Conclusion: 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, Xin Yang, Sijuan Huang, Lihua Guo   +3 more
doaj   +2 more sources

Occlusion Removal in Light-Field Images Using CSPDarknet53 and Bidirectional Feature Pyramid Network: A Multi-Scale Fusion-Based Approach

Applied Sciences
Occlusion removal in light-field images remains a significant challenge, particularly when dealing with large occlusions. An architecture based on end-to-end learning is proposed to address this challenge that interactively combines CSPDarknet53 and the ...
Mostafa Farouk Senussi, Hyun-Soo Kang
doaj   +3 more sources

Bidirectional feature pyramid attention-based temporal convolutional network model for motor imagery electroencephalogram classification

Frontiers in Neurorobotics
IntroductionAs an interactive method gaining popularity, brain-computer interfaces (BCIs) aim to facilitate communication between the brain and external devices.
Xinghe Xie, Xinghe Xie, Liyan Chen, Shujia Qin, Fusheng Zha, Xinggang Fan   +5 more
doaj   +4 more sources

Towards Accurate Scene Text Detection with Bidirectional Feature Pyramid Network [PDF]

Symmetry, 2021
Scene text detection, this task of detecting text from real images, is a hot research topic in the machine vision community. Most of the current research is based on an anchor box. These methods are complex in model design and time-consuming to train.
Cao, Dongping, Dang, Jiachen, Zhong, Yong   +2 more
openaire   +2 more sources