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A multi-scale adaptive framework for high-precision rail track damage detection via StarNet and bidirectional feature pyramid network. [PDF]
Sci RepPang Y +10 more
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YOLO-F: YOLO for Flame Detection
International Journal of Pattern Recognition and Artificial Intelligence, 2023Flame detection is of great significance in a fire prevention system. YOLOv4 has poor real-time performance on flame detection caused by the complex structure and high parameter size. To address this problem, a novel flame detection framework, YOLO for flame (YOLO-F), is proposed in this paper. The backbone of YOLOv4 is simplified from the original 53
Kun Xu +3 more
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YOLO*C — Adding context improves YOLO performance
Neurocomputing, 2023You Only Look Once (YOLO) algorithms deliver state-of-the-art performance in object detection. This research proposes a novel one-stage YOLO-based algorithm that explicitly models the spatial context inherent in traffic scenes. The new YOLO*C algorithm introduces the MCTX context module and integrates loss function changes, effectively leveraging rich ...
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Proceedings of the 2021 International Conference on Multimedia Retrieval, 2021
Object detection is a fundamental but very important task in computer vision. Most current algorithms require high computing resources, which hinders their deployment on embedded system. In this research, we propose a neural network model named Embedded YOLO to solve this problem. We propose the DSC_CSP module to replace the middle layers of YOLOv5s to
Wen-Kai Wu, Chien-Yu Chen, Jiann-Shu Lee
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Object detection is a fundamental but very important task in computer vision. Most current algorithms require high computing resources, which hinders their deployment on embedded system. In this research, we propose a neural network model named Embedded YOLO to solve this problem. We propose the DSC_CSP module to replace the middle layers of YOLOv5s to
Wen-Kai Wu, Chien-Yu Chen, Jiann-Shu Lee
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2023
The food security of any country may be jeopardized due to improper management of agricultural insect pests. Accurate pest detection and efficient pest control strategies must be employed in time to grow healthy crops for achieving food security in a country and worldwide.
Rashmiranjan Nayak +2 more
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The food security of any country may be jeopardized due to improper management of agricultural insect pests. Accurate pest detection and efficient pest control strategies must be employed in time to grow healthy crops for achieving food security in a country and worldwide.
Rashmiranjan Nayak +2 more
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Proceedings of the 2020 Conference on Artificial Intelligence and Healthcare, 2020
Renal pathology is the gold standard in renal clinical diagnosis. The glomerulus is the most important region of interest in the renal biopsy microscope slides. However, the development of renal pathology is limited by the doctor's laborious, time-consuming and repetitive detection of glomeruli.
Xueyu Liu +5 more
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Renal pathology is the gold standard in renal clinical diagnosis. The glomerulus is the most important region of interest in the renal biopsy microscope slides. However, the development of renal pathology is limited by the doctor's laborious, time-consuming and repetitive detection of glomeruli.
Xueyu Liu +5 more
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Proceedings of the ACM Turing Celebration Conference - China, 2020
Observing X-ray images manually is a common method for detecting contraband in packages. Long-term continuous observation is prone to visual fatigue, leading to problems of missed detection and false detection. Motivated by aiding operators in contraband detection in packages, we propose X-YOLO which is a deep learning based toolset with multiple ...
Haoyue Wang, Wei Wang, Yao Liu
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Observing X-ray images manually is a common method for detecting contraband in packages. Long-term continuous observation is prone to visual fatigue, leading to problems of missed detection and false detection. Motivated by aiding operators in contraband detection in packages, we propose X-YOLO which is a deep learning based toolset with multiple ...
Haoyue Wang, Wei Wang, Yao Liu
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YOLO-FD: YOLO for Face Detection
2019Face detection is a fundamental step for any face analysis approach. However, it remains as an unsolved problem in computer vision, specially, when it comes to the variability and distractions of in-the-wild environments. Moreover, a face detector must be accurate and fast to be used in surveillance/biometrics scenarios.
Luan P. e Silva +3 more
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