Zobrazeno 1 - 10
of 4 690
pro vyhledávání: '"Instance segmentation"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Accurate detection and tracking of animals across diverse environments are crucial for studying brain and behavior. Recently, computer vision techniques have become essential for high-throughput behavioral studies; however, localizing animal
Externí odkaz:
https://doaj.org/article/965206f2b94f43f9aa93d8d762c26463
Publikováno v:
Plant Methods, Vol 20, Iss 1, Pp 1-13 (2024)
Abstract Purpose Wood comprises different cell types, such as fibers, tracheids and vessels, defining its properties. Studying cells’ shape, size, and arrangement in microscopy images is crucial for understanding wood characteristics. Typically, th
Externí odkaz:
https://doaj.org/article/6d9c4e8d8b534e118de902629ef7d53b
Publikováno v:
智慧农业, Vol 6, Iss 4, Pp 53-63 (2024)
ObjectiveCurrently, pig farming facilities mainly rely on manual counting for tracking slaughtered and stored pigs. This is not only time-consuming and labor-intensive, but also prone to counting errors due to pig movement and potential cheating. As
Externí odkaz:
https://doaj.org/article/9e8da6fad96f487d9c6b248efc040d46
Publikováno v:
智慧农业, Vol 6, Iss 4, Pp 64-75 (2024)
ObjectiveThe body size parameter of cattle is a key indicator reflecting the physical development of cattle, and is also a key factor in the cattle selection and breeding process. In order to solve the demand of measuring body size of beef cattle in
Externí odkaz:
https://doaj.org/article/dbc05e21dfd342f2b48a5ef3b0a28e8a
Autor:
Satyabrata Swain, Asis Kumar Tripathy
Publikováno v:
International Journal of Sustainable Engineering, Vol 17, Iss 1, Pp 1-11 (2024)
The increasing prominence of autonomous vehicles underscores the critical need for precise and prompt lane detection to ensure safe and reliable transportation. This paper aims to enhance autonomous vehicle performance by developing an advanced real-
Externí odkaz:
https://doaj.org/article/5044ab64d0204679a039b6cc98f5ea61
Publikováno v:
IEEE Access, Vol 12, Pp 37744-37756 (2024)
We present Polite Teacher, a simple yet effective method for the task of semi-supervised instance segmentation. The proposed architecture relies on the Teacher-Student mutual learning framework. To filter out noisy pseudo-labels, we use confidence th
Externí odkaz:
https://doaj.org/article/ff98e480ba254c1a98e6cc80df0dc061
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Detecting and controlling tea pests promptly are crucial for safeguarding tea production quality. Due to the insufficient feature extraction ability of traditional CNN-based methods, they face challenges such as inaccuracy and inefficiency of detecti
Externí odkaz:
https://doaj.org/article/4383fed6a0b641e2be25694c2e8dba2b
Publikováno v:
Array, Vol 22, Iss , Pp 100351- (2024)
This study delves into the comparative efficacy of YOLOv5 and YOLOv8 in corrosion segmentation tasks. We employed three unique datasets, comprising 4942, 5501, and 6136 images, aiming to thoroughly evaluate the models’ adaptability and robustness i
Externí odkaz:
https://doaj.org/article/d8944116ce084a99a4849cb178770d43
Publikováno v:
智慧农业, Vol 6, Iss 2, Pp 95-106 (2024)
ObjectiveThere's a growing demand among plant cultivators and breeders for efficient methods to acquire plant phenotypic traits at high throughput, facilitating the establishment of mappings from phenotypes to genotypes. By integrating mobile phenoty
Externí odkaz:
https://doaj.org/article/44e985a118ec489d944b0da2a702bd9b
Autor:
Amjad A. Alsuwaylimi
Publikováno v:
IEEE Access, Vol 12, Pp 117833-117849 (2024)
Segmenting images is one of the most essential problems in computer vision and finds use in many areas for example medical imaging, traffic analysis among others. The use of instance segmentation that brings together object detection and segmentation
Externí odkaz:
https://doaj.org/article/c25a405223834fd997dfcf9d30d0adf7