From show to tell: A survey on deep learning-based image captioning
Connecting Vision and Language plays an essential role in Generative Intelligence. For this
reason, large research efforts have been devoted to image captioning, ie describing images …
reason, large research efforts have been devoted to image captioning, ie describing images …
A review on generative adversarial networks: Algorithms, theory, and applications
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 …
however, they have been studied since 2014, and a large number of algorithms have been …
Generative adversarial network in medical imaging: A review
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 …
community due to their capability of data generation without explicitly modelling the …
A comprehensive survey of deep learning for image captioning
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 …
recognizing the important objects, their attributes, and their relationships in an image. It also …
A survey on generative adversarial networks: Variants, applications, and training
The Generative Models have gained considerable attention in unsupervised learning via a
new and practical framework called Generative Adversarial Networks (GAN) due to their …
new and practical framework called Generative Adversarial Networks (GAN) due to their …
Visualgpt: Data-efficient adaptation of pretrained language models for image captioning
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 …
learning. To efficiently learn from small quantities of multimodal data, we leverage the …
Object hallucination in image captioning
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 …
prone to" hallucinating" objects that are not actually in a scene. One problem is that standard …
Say as you wish: Fine-grained control of image caption generation with abstract scene graphs
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 …
However, most image captioning models are intention-agnostic which cannot generate …
A review of the gumbel-max trick and its extensions for discrete stochasticity in machine learning
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 …
its unnormalized (log-) probabilities. Over the past years, the machine learning community …
Positive-augmented contrastive learning for image and video captioning evaluation
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 …
tasks, including the evaluation of captions generated from vision-and-language …