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pro vyhledávání: '"Elhagry, Ahmed"'
Autor:
Elhagry, Ahmed, Saeed, Mohamed
While object detection is a common problem in computer vision, it is even more challenging when dealing with aerial satellite images. The variety in object scales and orientations can make them difficult to identify. In addition, there can be large a
Externí odkaz:
http://arxiv.org/abs/2202.02489
Autor:
Elhagry, Ahmed, Elrayes, Rawan Glalal
Sign language is a set of gestures that deaf people use to communicate. Unfortunately, normal people don't understand it, which creates a communication gap that needs to be filled. Because of the variations in (Egyptian Sign Language) ESL from one re
Externí odkaz:
http://arxiv.org/abs/2107.13647
Human pose estimation (HPE) is one of the most challenging tasks in computer vision as humans are deformable by nature and thus their pose has so much variance. HPE aims to correctly identify the main joint locations of a single person or multiple pe
Externí odkaz:
http://arxiv.org/abs/2107.13643
Autor:
Elhagry, Ahmed, Kadaoui, Karima
Image Captioning is a task that combines computer vision and natural language processing, where it aims to generate descriptive legends for images. It is a two-fold process relying on accurate image understanding and correct language understanding bo
Externí odkaz:
http://arxiv.org/abs/2107.13114
Autor:
Elhagry, Ahmed, Kadaoui, Karima
Image captioning is a task in the field of Artificial Intelligence that merges between computer vision and natural language processing. It is responsible for generating legends that describe images, and has various applications like descriptions used
Externí odkaz:
http://arxiv.org/abs/2107.13111
Akademický článek
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Publikováno v:
IEEE Internet of Things Magazine; 2024, Vol. 7 Issue: 1 p120-126, 7p