Results 31 to 40 of about 17,255 (243)
Concatenated Feature Pyramid Network for Instance Segmentation [PDF]
2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM), 2019 Low level features like edges and textures play an important role in accurately localizing instances in neural networks. In this paper, we propose an architecture which improves feature pyramid networks commonly used instance segmentation networks by incorporating low level features in all layers of the pyramid in an optimal and efficient way ...
Sun, Yongqing +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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Feature Pyramid Networks for Crowd Counting
Procedia Computer Science, 2019 Abstract In this paper, we propose the use of Feature Pyramid Networks (FPN) for Crowd Counting problem. FPN previously has been used for retinanet, the state-of-the-art model for object detection. By using FPN, our proposed crowd counting model achieved a state-of-the-art performance for UCF CC 50 dataset with MAE 136.4 and MSE 223.6.
Tjeng Wawan Cenggoro +2 more
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Research On Real-time Detection Algorithm Of Rail-surface Defects Based On Improved YOLOX
Journal of Applied Science and Engineering, 2022 Real-time detection of rail surface defects is an important part of the future railway automation detection. Because of rail surface defects show multi-scale, small difference between background and prospect, therefore, a improved YOLOX real-time defect ...
Yongzhi Min, Jicheng Guo, Kun Yang
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U‐FPNDet: A one‐shot traffic object detector based on U‐shaped feature pyramid module
IET Image Processing, 2021 In the field of automatic driving, identifying vehicles and pedestrians is the starting point of other automatic driving techniques. Using the information collected by the camera to detect traffic targets is particularly important. The main bottleneck of
Xiao Ke, Jianping Li
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Integrated Feature Pyramid Network With Feature Aggregation for Traffic Sign Detection
IEEE Access, 2021 Traffic sign detection is a critical task in the visual system of the Advanced Driver Assistance System (ADAS) and the Automated Driving System (ADS). Although the general object detection has achieved promising results by using Feature Pyramid Network ...
Qing Tang, Ge Cao, Kang-Hyun Jo
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Sensors, 2022 With humanity entering the age of intelligence, text detection technology has been gradually applied in the industry. However, text detection in a complex background is still a challenging problem for researchers to overcome.
Jianjun Kang +2 more
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Pyramid Feature Alignment Network for Video Deblurring
, 2022 Video deblurring remains a challenging task due to various causes of blurring. Traditional methods have considered how to utilize neighboring frames by the single-scale alignment for restoration. However, they typically suffer from misalignment caused by severe blur.
Tao, Leitian, Chen, Zhenzhong
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Crowd Counting Algorithm Based on Feature Pyramid Network [PDF]
Jisuanji gongcheng, 2019 The single-picture crowd count has a sharp decline in performance due to severe population occlusion and scale changes.Therefore,this paper proposes an algorithm for crowd counting pictures,and gives a Full Convolution Network(FCN) capable of processing ...
MA Hao, YIN Baoqun, PENG Sifan
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E-FPN: Evidential Feature Pyramid Network for Ship Classification
Remote Sensing, 2023 Ship classification, as an important problem in the field of computer vision, has been the focus of research for various algorithms over the past few decades.
Yilin Dong +4 more
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