Zobrazeno 1 - 10
of 1 252
pro vyhledávání: '"FPN"'
Publikováno v:
Plant Methods, Vol 20, Iss 1, Pp 1-20 (2024)
Abstract With the emergence of the new generation vision architecture Vmamba and the further demand for agricultural yield and efficiency, we propose an efficient and high-accuracy target detection network for automated pear picking tasks based on Vm
Externí odkaz:
https://doaj.org/article/0b3231c6fade44ac887874454b9a8ced
Publikováno v:
Jin'gangshi yu moliao moju gongcheng, Vol 44, Iss 5, Pp 588-598 (2024)
Objectives: With the improvement of production technology, the traditional diamond particle cleanliness detection method can no longer meet the requirements of high precision, high quality and high automation in the diamond industry due to its low ef
Externí odkaz:
https://doaj.org/article/bb9a74c9d06d4de9beb6f83c31214f95
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract To address the problem of dense crowd face detection in complex environments, this paper proposes a face detection model named Deep and Compact Face Detection (DCFD), which adopts an improved lightweight EfficientNetV2 network to replace the
Externí odkaz:
https://doaj.org/article/db16084cf05e4d708789ee175af8cf75
Publikováno v:
PeerJ Computer Science, Vol 10, p e2470 (2024)
In this paper, we propose enhancing feature reuse for fully convolutional one-stage object detection (EFR-FCOS) to aim at backbone, neck and head, which are three main components of object detection. For the backbone, we build a global attention netw
Externí odkaz:
https://doaj.org/article/ba624c3f3bee45b58460b13656bb7adc
Publikováno v:
In Neurocomputing 7 February 2025 617
Autor:
Pyone Pyone Khin, Nay Min Htaik
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 24, Iss 1, Pp 51-61 (2024)
The prevalence of armed robberies has become a significant concern in today’s world, necessitating the development of effective detection systems. While various detection devices exist in the market, they do not possess the capability to automati
Externí odkaz:
https://doaj.org/article/a428ddabdcc74e1b9b594e277aec84e8
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 15583-15595 (2024)
Synthetic aperture radar (SAR) has been widely used in maritime domain awareness, especially in ship detection, due to the capability of working all-day and all-weather. In the detection of SAR ships, there are significant challenges in sea clutter,
Externí odkaz:
https://doaj.org/article/2eaf8461a86e40f5a58b954663b914f6
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 12706-12719 (2024)
The complex background and coherent speckle noise in synthetic aperture radar (SAR) images presents a significant challenge for the detection and recognition of SAR small targets. For deep neural networks, the robust feature learning method and effec
Externí odkaz:
https://doaj.org/article/61a499e0747a4239b8b18287e2eee605
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2024, Iss 1, Pp 1-17 (2024)
Abstract SiamFC++ only extracts the object feature of the first frame as a tracking template, and only uses the highest level feature maps in both the classification branch and the regression branch, so that the respective characteristics of the two
Externí odkaz:
https://doaj.org/article/e71bd2f121be46e5a79c0b98f6fe22af
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2024, Iss 1, Pp 1-16 (2024)
Abstract The purpose of human object detection is to obtain the number of people and their position in images, which is one of the core problems in the field of machine vision. However, the high missing detection rate from small- and medium-sized hum
Externí odkaz:
https://doaj.org/article/2f191b9d327447d583b40541bf5a7548