Results 41 to 50 of about 24,451 (274)
Human Attention in Image Captioning: Dataset and Analysis [PDF]
, 2019 In this work, we present a novel dataset consisting of eye movements and verbal descriptions recorded synchronously over images. Using this data, we study the differences in human attention during free-viewing and image captioning tasks. We look into the
Borji, Ali +3 more
core +3 more sources
Multi‐task learning for captioning images with novel words
IET Computer Vision, 2019 Recent captioning models are limited in their ability to describe concepts unseen in paired image–sentence pairs. This study presents a framework of multi‐task learning for describing novel words not present in existing image‐captioning datasets.
He Zheng +4 more
doaj +1 more source
Image-Captioning Model Compression
Applied Sciences, 2022 Image captioning is a very important task, which is on the edge between natural language processing (NLP) and computer vision (CV). The current quality of the captioning models allows them to be used for practical tasks, but they require both large ...
Viktar Atliha, Dmitrij Šešok
doaj +1 more source
COMIC: Towards A Compact Image Captioning Model with Attention
, 2019 Recent works in image captioning have shown very promising raw performance. However, we realize that most of these encoder-decoder style networks with attention do not scale naturally to large vocabulary size, making them difficult to be deployed on ...
Chan, Chee Seng +2 more
core +1 more source
Deep Interactive Region Segmentation and Captioning
, 2017 With recent innovations in dense image captioning, it is now possible to describe every object of the scene with a caption while objects are determined by bounding boxes.
Boroujerdi, Ali Sharifi +2 more
core +1 more source
Captioning Transformer with Stacked Attention Modules
Applied Sciences, 2018 Image captioning is a challenging task. Meanwhile, it is important for the machine to understand the meaning of an image better. In recent years, the image captioning usually use the long-short-term-memory (LSTM) as the decoder to generate the sentence ...
Xinxin Zhu +4 more
doaj +1 more source
International Journal of Innovative Technology and Exploring Engineering, 2021 In the modern era, image captioning has become one of the most widely required tools. Moreover, there are inbuilt applications that generate and provide a caption for a certain image, all these things are done with the help of deep neural network models. The process of generating a description of an image is called image captioning.
Megha J Panicker +3 more
openaire +1 more source
Geo-Aware Image Caption Generation [PDF]
Proceedings of the 28th International Conference on Computational Linguistics, 2020 Standard image caption generation systems produce generic descriptions of images and do not utilize any contextual information or world knowledge. In particular, they are unable to generate captions that contain references to the geographic context of an image, for example, the location where a photograph is taken or relevant geographic objects around ...
Nikiforova, Sofia +3 more
openaire +3 more sources
Image Captioning using Deep Neural Architectures
, 2017 Automatically creating the description of an image using any natural languages sentence like English is a very challenging task. It requires expertise of both image processing as well as natural language processing.
Bakarola, Vishvajit +2 more
core +1 more source
, 2018 arXiv admin note: text overlap with arXiv:1609.06647 by other ...
Mullachery, Vikram, Motwani, Vishal
openaire +2 more sources