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 …

Image-to-image translation: Methods and applications

Y Pang, J Lin, T Qin, Z Chen - IEEE Transactions on Multimedia, 2021 - ieeexplore.ieee.org
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 …

A survey of unsupervised deep domain adaptation

G Wilson, DJ Cook - ACM Transactions on Intelligent Systems and …, 2020 - dl.acm.org
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 …

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 …

Hologan: Unsupervised learning of 3d representations from natural images

T Nguyen-Phuoc, C Li, L Theis… - Proceedings of the …, 2019 - openaccess.thecvf.com
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 …

Multi-channel attention selection gan with cascaded semantic guidance for cross-view image translation

H Tang, D Xu, N Sebe, Y Wang… - Proceedings of the …, 2019 - openaccess.thecvf.com
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 …

Generative adversarial networks for image and video synthesis: Algorithms and applications

MY Liu, X Huang, J Yu, TC Wang… - Proceedings of the …, 2021 - ieeexplore.ieee.org
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 …

Towards visually explaining variational autoencoders

W Liu, R Li, M Zheng, S Karanam… - Proceedings of the …, 2020 - openaccess.thecvf.com
Abstract Recent advances in Convolutional Neural Network (CNN) model interpretability
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 …

Attentiongan: Unpaired image-to-image translation using attention-guided generative adversarial networks

H Tang, H Liu, D Xu, PHS Torr… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
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 …