Zobrazeno 1 - 10
of 1 371
pro vyhledávání: '"visual features"'
Autor:
Jun Liu, Xuewei Wang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract Pepper diseases and pests typically exhibit small target proportions, diverse shapes and sizes, complex imaging backgrounds, and similarities with the background. Existing detection methods perform poorly in identifying targets of different
Externí odkaz:
https://doaj.org/article/a49c63fabdae45159e694c8e923db62d
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 10, Pp 2762-2769 (2024)
Effective representation of visual feature extraction is the key to improving continuous sign language recognition performance. However, the differences in the temporal length of sign language actions and the sign language weak annotation problem mak
Externí odkaz:
https://doaj.org/article/3ae151fda5e2460980a6b34e3383398c
Zero-Shot Pest Identification Based on Generative Adversarial Networks and Visual-Semantic Alignment
Publikováno v:
智慧农业, Vol 6, Iss 2, Pp 72-84 (2024)
ObjectiveAccurate identification of insect pests is crucial for the effective prevention and control of crop infestations. However, existing pest identification methods primarily rely on traditional machine learning or deep learning techniques that a
Externí odkaz:
https://doaj.org/article/a8b44deb28cc4c04ad545347298c8cbc
Publikováno v:
IEEE Access, Vol 12, Pp 127341-127356 (2024)
The integration of radiology reports for healthcare treatment using AI presents a transformative opportunity to enhance patient care and optimize healthcare delivery. Generating accurate radiology reports is crucial for guiding patient treatment in t
Externí odkaz:
https://doaj.org/article/0b9676adb0894626872d9d52df2d8ba1
Publikováno v:
IEEE Access, Vol 12, Pp 13233-13247 (2024)
Various methods are employed in computer vision applications to identify individuals, including using face recognition as a human visual feature helpful in tracking or searching for a person. However, tracking systems that rely solely on facial infor
Externí odkaz:
https://doaj.org/article/5b6a9ed64b5a4e65acce9b18fdfc262e
Autor:
WU Jiangwei, NAN Bingfei
Publikováno v:
Gong-kuang zidonghua, Vol 49, Iss 11, Pp 60-66 (2023)
The various poses of scraper conveyors, irregular coal material shapes, limited equipment installation positions, high dust, and foreign object obstruction in the scene of scraper conveyors in underground coal mines have led to the inability of exist
Externí odkaz:
https://doaj.org/article/9a31d292a92745d795101fc4c9410882
Akademický článek
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Publikováno v:
Remote Sensing, Vol 16, Iss 14, p 2512 (2024)
To enhance the performance of visual SLAM in underwater environments, this paper presents an enhanced front-end method based on visual feature enhancement. The method comprises three modules aimed at optimizing and improving the matching capability o
Externí odkaz:
https://doaj.org/article/40470fc743c34b259c97bcbf05d3e78b
Publikováno v:
Buildings, Vol 14, Iss 7, p 2114 (2024)
The rising frequency of natural disasters demands efficient and accurate structural damage assessments to ensure public safety and expedite recovery. Human error, inconsistent standards, and safety risks limit traditional visual inspections by engine
Externí odkaz:
https://doaj.org/article/6dd751232ba74569a8ca3375cefbafb6
Publikováno v:
Sensors, Vol 24, Iss 13, p 4398 (2024)
The cognitive state of a person can be categorized using the circumplex model of emotional states, a continuous model of two dimensions: arousal and valence. The purpose of this research is to select a machine learning model(s) to be integrated into
Externí odkaz:
https://doaj.org/article/5d63a4b41bd642bb86ea9cb25ed03882