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A Comparative Study on Denoising from Facial Images Using Convolutional Autoencoder
(Gazi Universitesi, 2023)
Denoising is one of the most important preprocesses in image processing. Noises in images can prevent extracting some important information stored in images. Therefore, before some implementations such as image classification, ...
Multimodal retrieval with contrastive pretraining
(Institute of Electrical and Electronics Engineers Inc., 2021)
In this paper, we present multimodal data retrieval aided with contrastive pretraining. Our approach is to pretrain a contrastive network to assist in multimodal retrieval tasks. We work with multimodal data, which has ...