Results 11 to 20 of about 10,967 (196)
Applied SciencesOcclusion 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
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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 +2 more
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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 +4 more
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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
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RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network
, 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. However, existing reversible methods do not apply to multi-scale feature fusion and are, therefore, not applicable to a large class of networks ...
Chiley, Vitaliy +5 more
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Gated bidirectional feature pyramid network for accurate one-shot detection [PDF]
Machine Vision and Applications, 2019 Despite recent advances in machine learning, it is still challenging to realize real-time and accurate detection in images. The recently proposed StairNet detector (Sanghyun et al. in Proceedings of winter conference on applications of computer vision (WACV), 2018), one of the strongest one-stage detectors, tackles this issue by using a SSD in ...
Sanghyun Woo +3 more
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On Image Ｒecognition Using Bidirectional Feature Pyramid and Deep Neural Network
Journal of Harbin University of Science and Technology, 2021 Object recognition is one of the fundamental tasks in the area of computer vision. The development of deep neural networks advances the object recognition. Nonetheless，multi-scale object recognition still remains to be a challenging task.
ZHAO Sheng, ZHAO Li
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Object detection based on Yolov4-Tiny and Improved Bidirectional feature pyramid network
Journal of Physics: Conference Series, 2022 AbstractIn 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 +4 more
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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 +5 more
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Context-aware Synthesis for Video Frame Interpolation [PDF]
, 2018 Video frame interpolation algorithms typically estimate optical flow or its variations and then use it to guide the synthesis of an intermediate frame between two consecutive original frames.
Liu, Feng, Niklaus, Simon
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