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The following term was not found in PubMed: Jhang-Shan
Page 1
Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation.
Zheng Z, Wang P, Ren D, Liu W, Ye R, Hu Q, Zuo W. Zheng Z, et al. IEEE Trans Cybern. 2022 Aug;52(8):8574-8586. doi: 10.1109/TCYB.2021.3095305. Epub 2022 Jul 19. IEEE Trans Cybern. 2022. PMID: 34437079
In particular, we consider three geometric factors, that is: 1) overlap area; 2) normalized central-point distance; and 3) aspect ratio, which are crucial for measuring bounding-box regression in object detection and instance segmentation. The three geometric factors are then inc …
In particular, we consider three geometric factors, that is: 1) overlap area; 2) normalized central-point distance; and 3) aspect ratio, whi …
Face Mask-Wearing Detection Model Based on Loss Function and Attention Mechanism.
Wang Z, Sun W, Zhu Q, Shi P. Wang Z, et al. Comput Intell Neurosci. 2022 Jul 12;2022:2452291. doi: 10.1155/2022/2452291. eCollection 2022. Comput Intell Neurosci. 2022. PMID: 35865498 Free PMC article. Review.
Based on YOLOv5s, we first introduce an attention mechanism in the feature fusion process to improve feature utilization, study the effect of different attention mechanisms (CBAM, SE, and CA) on improving deep network models, and then explore the influence of different bounding b …
Based on YOLOv5s, we first introduce an attention mechanism in the feature fusion process to improve feature utilization, study the effect o …
Detection of Specific Building in Remote Sensing Images Using a Novel YOLO-S-CIOU Model. Case: Gas Station Identification.
Gao J, Chen Y, Wei Y, Li J. Gao J, et al. Sensors (Basel). 2021 Feb 16;21(4):1375. doi: 10.3390/s21041375. Sensors (Basel). 2021. PMID: 33669229 Free PMC article.
Compared with YOLOv3, YOLO-S-CIOU reduced the parameters' number by 2,510,977 (about 4%) and improved the AP by 2.23% and the F1 score by 0.5%. Moreover, in gas stations detection in Tumshuk City and Yanti City, the recall (R) and precision (P) of YOLO-S-CIOU were 5 …
Compared with YOLOv3, YOLO-S-CIOU reduced the parameters' number by 2,510,977 (about 4%) and improved the AP by 2.23% and the F1 scor …
Helmet-Wearing Tracking Detection Based on StrongSORT.
Li F, Chen Y, Hu M, Luo M, Wang G. Li F, et al. Sensors (Basel). 2023 Feb 3;23(3):1682. doi: 10.3390/s23031682. Sensors (Basel). 2023. PMID: 36772722 Free PMC article.
The experimental results show that the mAP@0.5 of all classes in the YOLOv5s model can reach 95.1% in the validation dataset, mAP@0.5:0.95 is 62.1%, and the precision of wearing helmet is 95.7%. After the box regression loss function was changed from CIOU to Focal-EIOU, th …
The experimental results show that the mAP@0.5 of all classes in the YOLOv5s model can reach 95.1% in the validation dataset, mAP@0.5:0.95 i …
Detection of Farmland Obstacles Based on an Improved YOLOv5s Algorithm by Using CIoU and Anchor Box Scale Clustering.
Xue J, Cheng F, Li Y, Song Y, Mao T. Xue J, et al. Sensors (Basel). 2022 Feb 24;22(5):1790. doi: 10.3390/s22051790. Sensors (Basel). 2022. PMID: 35270935 Free PMC article.
An improved YOLOv5s algorithm based on the K-Means clustering algorithm and CIoU Loss function was proposed to improve detection precision and speed up real-time detection. ...Furthermore, the mAP value of the improved algorithm was increased by 5.80% compared with that of …
An improved YOLOv5s algorithm based on the K-Means clustering algorithm and CIoU Loss function was proposed to improve detection prec …
A Face Detection and Standardized Mask-Wearing Recognition Algorithm.
Yu J, Zhang X, Wu T, Pan H, Zhang W. Yu J, et al. Sensors (Basel). 2023 May 10;23(10):4612. doi: 10.3390/s23104612. Sensors (Basel). 2023. PMID: 37430525 Free PMC article.
The network is able to deeply mine the feature map for spatial and communication factors, and the multi-scale feature fusion makes the feature map equipped with location and semantic information. Based on the complete intersection over union (CIoU), a penalty function base …
The network is able to deeply mine the feature map for spatial and communication factors, and the multi-scale feature fusion makes the featu …
210 results