Zobrazeno 1 - 10
of 167
pro vyhledávání: '"multi-oriented"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 956-967 (2022)
Intersection over union (IoU) has been widely adopted to evaluate and select candidate regions in multi-oriented object detection. Intuitively, overlaps between candidates and multi-oriented ground-truth boxes make more sense when assessing the quali
Externí odkaz:
https://doaj.org/article/206921a01124423bbee012cedc6b2501
Akademický článek
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Publikováno v:
Remote Sensing, Vol 15, Iss 14, p 3544 (2023)
For oriented object detection, the existing CNN-based methods typically rely on a substantial and diverse dataset, which can be expensive to acquire and demonstrate limited capacity for generalization when faced with new categories that lack annotate
Externí odkaz:
https://doaj.org/article/6f971039d03e4b98afdb1dc5e41dc13e
Autor:
Baohua Huang, Xiaoru Feng
Publikováno v:
Applied Sciences, Vol 13, Iss 6, p 3928 (2023)
Scene text detection has become a popular topic in computer vision research. Most of the current research is based on deep learning, using Convolutional Neural Networks (CNNs) to extract the visual features of images. However, due to the limitations
Externí odkaz:
https://doaj.org/article/bf165a7c63144d02980ddbb314b42ae4
Autor:
Jose L. Flores Campana, Allan Pinto, Manuel Alberto Cordova Neira, Luis Gustavo Lorgus Decker, Andreza Santos, Jhonatas S. Conceicao, Ricardo Da Silva Torres
Publikováno v:
IEEE Access, Vol 8, Pp 81257-81270 (2020)
Hundreds of text detection methods have been proposed, motivated by their widespread use in several applications. Despite the huge progress in the area, which includes even the use of sophisticated learning schemes, ad-hoc post-processing procedures
Externí odkaz:
https://doaj.org/article/048cdb7fb5a5414fa53a35db8bffee3e
Publikováno v:
IEEE Access, Vol 8, Pp 223172-223188 (2020)
Scene text detection has become an important field in the computer vision area due to the increasing number of applications. This is a very challenging problem as textual elements are commonly found in “noisy” and complex natural scenes. Another
Externí odkaz:
https://doaj.org/article/1ece3e7a430b48e6aacdea87eed55b0e
Publikováno v:
Sensors, Vol 22, Iss 12, p 4372 (2022)
Scene text detection task aims to precisely localize text in natural environments. At present, the application scenarios of text detection topics have gradually shifted from plain document text to more complex natural scenarios. Objects with similar
Externí odkaz:
https://doaj.org/article/cb80cd622631476abf2adf049eadbf2c
Publikováno v:
IEEE Access, Vol 7, Pp 22588-22598 (2019)
Incidental scene text detection is a challenging problem because of arbitrary orientation, low resolution, perspective distortion, and variant aspect ratios of text in natural images. In this paper, we present an end-to-end trainable deep model, whic
Externí odkaz:
https://doaj.org/article/9c5c5fc306684054b245ab16cf0b9e9d
Publikováno v:
IEEE Access, Vol 7, Pp 45012-45031 (2019)
With the aggravation of global environmental problems, energy saving, and emission reduction are urgent for the manufacturing industry. However, due to the difficulty in coordinating the manufacturing behaviors and profit targets of different subsidi
Externí odkaz:
https://doaj.org/article/2c1139e05b0c4634848ac15496ab7718
Publikováno v:
IEEE Access, Vol 7, Pp 62805-62816 (2019)
Scene text detection (STD) is an irreplaceable step in a scene text reading system. It remains a more challenging task than general object detection since text objects are of arbitrary orientations and varying sizes. Generally, segmentation methods t
Externí odkaz:
https://doaj.org/article/b34fca0f6a6e4983aa41dd9125208aff