Results 21 to 30 of about 23,891 (225)

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   +3 more sources

RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network [PDF]

CoRR, 2022
This work introduces RevSilo, the first reversible bidirectional multi-scale feature fusion module. Like other reversible methods, RevSilo eliminates the need to store hidden activations by recomputing them.
Vitaliy Chiley, Vithursan Thangarasa, Abhay Gupta, Anshul Samar, Joel Hestness, D. DeCoste   +5 more
semanticscholar   +4 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

Object detection based on Yolov4-Tiny and Improved Bidirectional feature pyramid network

Journal of Physics: Conference Series, 2022
In the field of small object detection, Yolov4-Tiny is inadequate in feature extraction and does not make best of multi-scale features. In this paper, an improved BiFPN framework is proposed based on Yolov4-Tiny to increase object detection precision ...
Qi Liu, Xiaoyu Fan, Zhipeng Xi, Zhijian Yin, Zhen Yang   +4 more
semanticscholar   +2 more sources

Research on Mask-Wearing Detection Algorithm Based on Improved YOLOv5

Sensors, 2022
COVID-19 is highly contagious, and proper wearing of a mask can hinder the spread of the virus. However, complex factors in natural scenes, including occlusion, dense, and small-scale targets, frequently lead to target misdetection and missed detection ...
Shuyi Guo, Lulu Li, Tianyou Guo, Yunyu Cao, Yinlei Li   +4 more
doaj   +2 more sources

ReBiDet: An Enhanced Ship Detection Model Utilizing ReDet and Bi-Directional Feature Fusion

Applied Sciences, 2023
To enhance ship detection accuracy in the presence of complex scenes and significant variations in object scales, this study introduces three enhancements to ReDet, resulting in a more powerful ship detection model called rotation-equivariant ...
Zexin Yan, Zhongbo Li, Yongqiang Xie, Chengyang Li, Shaonan Li, Fangwei Sun   +5 more
doaj   +2 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

A Detection Approach for Floating Debris Using Ground Images Based on Deep Learning

Remote Sensing, 2022
Floating debris has a negative impact on the quality of the water as well as the aesthetics of surface waters. Traditional image processing techniques struggle to adapt to the complexity of water due to factors such as complex lighting conditions ...
Guangchao Qiao, Mingxiang Yang, Hao Wang
doaj   +2 more sources

PERHITUNGAN OTOMATIS UKURAN UDANG VANAME MENERAPKAN OBJECT DETECTION DENGAN CONVOLUTIONAL NEURAL NETWORK MENGGUNAKAN METODE BIDIRECTIONAL FEATURE PYRAMID NETWORK

JURNAL INSTEK (INFORMATIKA SAINS DAN TEKNOLOGI)
Penelitian ini menyoroti pentingnya udang sebagai komoditas ekspor yang menjanjikan di Indonesia, negara yang dikenal sebagai salah satu pengekspor udang terbesar di dunia. Fokus khusus diberikan pada udang Vaname, yang menonjol karena nilai gizinya yang
Reza Faisal, Ridwan A. Kambau, M. Hasrul, Teknik Informatika, Uin Alauddin, Makassar   +5 more
semanticscholar   +3 more sources

A Robust Lightweight Network for Pedestrian Detection Based on YOLOv5-x

Applied Sciences, 2023
Pedestrian detection is a crucial task in computer vision, with various applications in surveillance, autonomous driving, and robotics. However, detecting pedestrians in complex scenarios, such as rainy days, remains a challenging problem due to the ...
Yuanjie Chen, Chunyuan Wang, Chi Zhang
doaj   +2 more sources