Deep Learning Approaches Based on Transformer Architectures for Image Captioning Tasks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3161428
Abstract: This paper focuses on visual attention, a state-of-the-art approach for image captioning tasks within the computer vision research area. We study the impact that different hyperparemeter configurations on an encoder-decoder visual attention architecture in terms… read more here.
Keywords: captioning tasks; top accuracy; transformer; deep learning ... See more keywords
Compression Helps Deep Learning in Image Classification
Sign Up to like & getrecommendations! Published in 2021 at "Entropy"
DOI: 10.3390/e23070881
Abstract: The impact of JPEG compression on deep learning (DL) in image classification is revisited. Given an underlying deep neural network (DNN) pre-trained with pristine ImageNet images, it is demonstrated that, if, for any original image,… read more here.
Keywords: image; classification; accuracy; original image ... See more keywords