Results 21 to 30 of about 141,410 (272)

Convolutional Image Captioning [PDF]

open access: yes2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018
11 pages, 9 ...
Aneja, Jyoti   +2 more
openaire   +2 more sources

Areas of Attention for Image Captioning [PDF]

open access: yes, 2016
We propose "Areas of Attention", a novel attention-based model for automatic image captioning. Our approach models the dependencies between image regions, caption words, and the state of an RNN language model, using three pairwise interactions.
Lucas, Thomas   +3 more
core   +5 more sources

Arabic Captioning for Images of Clothing Using Deep Learning

open access: yesSensors, 2023
Fashion is one of the many fields of application that image captioning is being used in. For e-commerce websites holding tens of thousands of images of clothing, automated item descriptions are quite desirable.
Rasha Saleh Al-Malki   +1 more
doaj   +1 more source

Unsupervised Image Captioning [PDF]

open access: yes2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Deep neural networks have achieved great successes on the image captioning task. However, most of the existing models depend heavily on paired image-sentence datasets, which are very expensive to acquire. In this paper, we make the first attempt to train an image captioning model in an unsupervised manner.
Feng, Yang   +3 more
openaire   +2 more sources

Automatic Generation of Grounded Visual Questions [PDF]

open access: yes, 2017
In this paper, we propose the first model to be able to generate visually grounded questions with diverse types for a single image. Visual question generation is an emerging topic which aims to ask questions in natural language based on visual input.
Qu, Lizhen   +4 more
core   +1 more source

Improving Image Captioning with Better Use of Caption

open access: yesProceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
ACL ...
Shi, Zhan   +3 more
openaire   +2 more sources

Entity-grounded image captioning [PDF]

open access: yes, 2018
An urgent limitation in current Image Captioning models is their tendency to produce generic captions that avoid the interesting detail which makes each image unique. To address this limitation, we propose an approach that enforces a stronger alignment between image regions and specific segments of text.
Lindh, Annika   +2 more
openaire   +2 more sources

Multifaceted Feature Coding Image Caption Generation Algorithm Based on Transformer [PDF]

open access: yesJisuanji gongcheng, 2023
Object features extracted by object detection algorithms play an increasingly critical role in the generation of image captions.However, only using the features of object detection as the input of an image caption task can lead to the loss of other ...
HENG Hongjun, FAN Yuchen, WANG Jialiang
doaj   +1 more source

Captioning Ultrasound Images Automatically

open access: yes, 2019
We describe an automatic natural language processing (NLP)-based image captioning method to describe fetal ultrasound video content by modelling the vocabulary commonly used by sonographers and sonologists. The generated captions are similar to the words spoken by a sonographer when describing the scan experience in terms of visual content and ...
Alsharid, M   +5 more
openaire   +4 more sources

Multi-Band Image Caption Generation Method Based on Feature Fusion [PDF]

open access: yesJisuanji gongcheng
This study proposes a multi-band detection image caption generation method based on feature fusion to address the common problem of poor performance in describing nighttime scenes, occluded target scenes, and captured blurred images in existing image ...
HE Shan, LIN Suzhen, WANG Yanbo, LI Dawei
doaj   +1 more source

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