A general survey on attention mechanisms in deep learning
G Brauwers, F Frasincar - IEEE Transactions on Knowledge …, 2021 - ieeexplore.ieee.org
Attention is an important mechanism that can be employed for a variety of deep learning
models across many different domains and tasks. This survey provides an overview of the …
models across many different domains and tasks. This survey provides an overview of the …
Image-to-image translation: Methods and applications
Image-to-image translation (I2I) aims to transfer images from a source domain to a target
domain while preserving the content representations. I2I has drawn increasing attention and …
domain while preserving the content representations. I2I has drawn increasing attention and …
A survey of unsupervised deep domain adaptation
Deep learning has produced state-of-the-art results for a variety of tasks. While such
approaches for supervised learning have performed well, they assume that training and …
approaches for supervised learning have performed well, they assume that training and …
Attention, please! A survey of neural attention models in deep learning
A de Santana Correia, EL Colombini - Artificial Intelligence Review, 2022 - Springer
In humans, Attention is a core property of all perceptual and cognitive operations. Given our
limited ability to process competing sources, attention mechanisms select, modulate, and …
limited ability to process competing sources, attention mechanisms select, modulate, and …
Hologan: Unsupervised learning of 3d representations from natural images
We propose a novel generative adversarial network (GAN) for the task of unsupervised
learning of 3D representations from natural images. Most generative models rely on 2D …
learning of 3D representations from natural images. Most generative models rely on 2D …
Multi-channel attention selection gan with cascaded semantic guidance for cross-view image translation
Cross-view image translation is challenging because it involves images with drastically
different views and severe deformation. In this paper, we propose a novel approach named …
different views and severe deformation. In this paper, we propose a novel approach named …
Generative adversarial networks for image and video synthesis: Algorithms and applications
The generative adversarial network (GAN) framework has emerged as a powerful tool for
various image and video synthesis tasks, allowing the synthesis of visual content in an …
various image and video synthesis tasks, allowing the synthesis of visual content in an …
Towards visually explaining variational autoencoders
Abstract Recent advances in Convolutional Neural Network (CNN) model interpretability
have led to impressive progress in visualizing and understanding model predictions. In …
have led to impressive progress in visualizing and understanding model predictions. In …
Transformation consistency regularization–a semi-supervised paradigm for image-to-image translation
A Mustafa, RK Mantiuk - Computer Vision–ECCV 2020: 16th European …, 2020 - Springer
Scarcity of labeled data has motivated the development of semi-supervised learning
methods, which learn from large portions of unlabeled data alongside a few labeled …
methods, which learn from large portions of unlabeled data alongside a few labeled …
Attentiongan: Unpaired image-to-image translation using attention-guided generative adversarial networks
State-of-the-art methods in the image-to-image translation are capable of learning a
mapping from a source domain to a target domain with unpaired image data. Though the …
mapping from a source domain to a target domain with unpaired image data. Though the …