Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Jin, P."'
Publikováno v:
IEEE Access, Vol 12, Pp 84726-84737 (2024)
The utilization of target detection algorithms for counting edible centipedes represents a novel endeavor in the field of traditional Chinese medicine materials using deep learning. However, the accuracy of current target detection algorithms is rela
Externí odkaz:
https://doaj.org/article/1dc5dee6664341a4a12f5c3b3bb449e9
Publikováno v:
IEEE Access, Vol 12, Pp 23854-23868 (2024)
To solve the problem of workers incorrectly wearing helmets, this study proposes a standard helmet wear detection model, YOLO-ESCA based on improved YOLOv5n. This model can monitor workers’ helmet wear in real time via UAVs and other means and auto
Externí odkaz:
https://doaj.org/article/57fe711379404f7c9bb8d62743602ef1
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 8933-8942 (2023)
RGB–infrared object detection in remote-sensing images is crucial for achieving around-clock surveillance of unmanned aerial vehicles. RGB–infrared remote-sensing object detection methods based on deep learning usually mine the complementary info
Externí odkaz:
https://doaj.org/article/ab5a7b2964e54dff9b680c7835607ec4
Publikováno v:
IEEE Access, Vol 10, Pp 95763-95770 (2022)
Fresh Fruit Bunch (FFB) is the main ingredient in palm oil production. Harvesting FFB from oil palm trees at its peak ripeness stage is crucial to maximise the oil extraction rate (OER) and quality. In current harvesting practices, misclassification
Externí odkaz:
https://doaj.org/article/b794973d36ee4d72aeaa09f381916f00
Publikováno v:
IEEE Access, Vol 10, Pp 79491-79501 (2022)
Images captured from real-world environments often include blur artifacts resulting from camera movement, dynamic object motion, or out-of-focus. Although such blur artifacts are inevitable, most object detection methods do not have special considera
Externí odkaz:
https://doaj.org/article/ed574237c51d48d7a6f08d512796b486
Publikováno v:
IEEE Access, Vol 10, Pp 31455-31465 (2022)
Unmanned Aerial Vehicle (UAV) has been widely applied for aerial object detection. Recently, this issue has become a research hot spot in the field of computer vision. Currently, the performance of conventional methods to detect small objects has rea
Externí odkaz:
https://doaj.org/article/b3504221a7c943c291a4c587051b1ffd
Publikováno v:
IEEE Access, Vol 10, Pp 91497-91508 (2022)
To achieve real-time object detection tasks with high throughput and low latency, this paper proposes a multi-die hardware accelerator architecture. It implements three accelerators on the VU9P chip, each of which is bound to an independent super log
Externí odkaz:
https://doaj.org/article/b82a40c1d41344beac1901fb7b9bdb2d
Publikováno v:
IEEE Access, Vol 9, Pp 135256-135265 (2021)
X-ray baggage inspection has been widely used for maintaining airport and transportation security. Towards automated inspection, recent deep learning-based methods have attempted to detect hazardous objects directly from X-ray images. Since it is cha
Externí odkaz:
https://doaj.org/article/75acd3ce38d64cf392da9c4c4b87d193
Publikováno v:
IEEE Access, Vol 9, Pp 2100-2109 (2021)
The δ-generalized labeled multi-Bernoulli (δ-GLMB) filter is an efficient approach for multiobject tracking in case of high clutter density and low detection probability. However, the formulation of the original δ-GLMB filter requires that the bir
Externí odkaz:
https://doaj.org/article/ace8cd32e496484e81d9c3c655682b7c
Publikováno v:
IEEE Access, Vol 9, Pp 11694-11704 (2021)
Fashion image analysis has attracted significant research attention owing to the availability of large-scale fashion datasets with rich annotations. However, existing deep learning models for fashion datasets often have high computational requirement
Externí odkaz:
https://doaj.org/article/54bd040a7df945fd9460750a831e373f