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pro vyhledávání: '"Bilal, Talha"'
Publikováno v:
2023 IEEE/CVF CVPRW, pp. 4454-4463
This paper is about effectively utilizing synthetic data for training deep neural networks for industrial parts classification, in particular, by taking into account the domain gap against real-world images. To this end, we introduce a synthetic data
Externí odkaz:
http://arxiv.org/abs/2404.08778
Deep learning based 3D reconstruction of single view 2D image is becoming increasingly popular due to their wide range of real-world applications, but this task is inherently challenging because of the partial observability of an object from a single
Externí odkaz:
http://arxiv.org/abs/2104.13854
Publikováno v:
Cureus
A 47-year-old female with attention-deficit/hyperactivity disorder on prescription Adderall presented to the hospital with worsening dyspnea for the one-month duration. She was admitted to the medical intensive care unit with respiratory failure requ