Generative adversarial networks (GANs) have recently become a hot research topic; however, they have been studied since 2014, and a large number of algorithms have been …
X Yi, E Walia, P Babyn - Medical image analysis, 2019 - Elsevier
Generative adversarial networks have gained a lot of attention in the computer vision community due to their capability of data generation without explicitly modelling the …
Generating a description of an image is called image captioning. Image captioning requires recognizing the important objects, their attributes, and their relationships in an image. It also …
A Jabbar, X Li, B Omar - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
The Generative Models have gained considerable attention in unsupervised learning via a new and practical framework called Generative Adversarial Networks (GAN) due to their …
J Chen, H Guo, K Yi, B Li… - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
The limited availability of annotated data often hinders real-world applications of machine learning. To efficiently learn from small quantities of multimodal data, we leverage the …
Despite continuously improving performance, contemporary image captioning models are prone to" hallucinating" objects that are not actually in a scene. One problem is that standard …
S Chen, Q Jin, P Wang, Q Wu - Proceedings of the IEEE …, 2020 - openaccess.thecvf.com
Humans are able to describe image contents with coarse to fine details as they wish. However, most image captioning models are intention-agnostic which cannot generate …
IAM Huijben, W Kool, MB Paulus… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
The Gumbel-max trick is a method to draw a sample from a categorical distribution, given by its unnormalized (log-) probabilities. Over the past years, the machine learning community …
The CLIP model has been recently proven to be very effective for a variety of cross-modal tasks, including the evaluation of captions generated from vision-and-language …