Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Sarıtaş, Erdi"'
Face alignment is a crucial step in preparing face images for feature extraction in facial analysis tasks. For applications such as face recognition, facial expression recognition, and facial attribute classification, alignment is widely utilized dur
Externí odkaz:
http://arxiv.org/abs/2412.11779
Autor:
Sarıtaş, Erdi, Ekenel, Hazım Kemal
Advancements like Generative Adversarial Networks have attracted the attention of researchers toward face image synthesis to generate ever more realistic images. Thereby, the need for the evaluation criteria to assess the realism of the generated ima
Externí odkaz:
http://arxiv.org/abs/2406.02153
Autor:
Sarıtaş, Erdi, Ekenel, Hazım Kemal
A face recognition model is typically trained on large datasets of images that may be collected from controlled environments. This results in performance discrepancies when applied to real-world scenarios due to the domain gap between clean and in-th
Externí odkaz:
http://arxiv.org/abs/2406.02142