Application of human computing in image captioning under deep learning
Sign Up to like & getrecommendations! Published in 2019 at "Microsystem Technologies"
DOI: 10.1007/s00542-019-04473-5
Abstract: Image captioning refers to a kind of machine learning technology that makes an input of an image automatically generate some descriptive texts, with this being widely applied in image search, unmanned driving, VR and AR.… read more here.
Keywords: image captioning; captioning deep; human computing; image ... See more keywords
Guest Editorial: Image and Language Understanding
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DOI: 10.1007/s11263-017-0993-y
Abstract: We are pleased to present this special issue of IJCV on combined image and language understanding. It contains some of the latest work in a long line of research into problems at the intersection of… read more here.
Keywords: image; guest editorial; image language; image captioning ... See more keywords
A survey on automatic image caption generation
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.05.080
Abstract: Abstract Image captioning means automatically generating a caption for an image. As a recently emerged research area, it is attracting more and more attention. To achieve the goal of image captioning, semantic information of images… read more here.
Keywords: image; research; image captioning; survey ... See more keywords
Protect, show, attend and tell: Empowering image captioning models with ownership protection
Sign Up to like & getrecommendations! Published in 2022 at "Pattern Recognition"
DOI: 10.1016/j.patcog.2021.108285
Abstract: Abstract By and large, existing Intellectual Property (IP) protection on deep neural networks typically i) focus on image classification task only, and ii) follow a standard digital watermarking framework that was conventionally used to protect… read more here.
Keywords: protect show; image captioning; image; ownership protection ... See more keywords
Dual Position Relationship Transformer for Image Captioning
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DOI: 10.1089/big.2021.0262
Abstract: Employing feature vectors extracted from the target detector has been shown to be effective in improving the performance of image captioning. However, it is considered that existing framework suffers from the deficiency of insufficient information… read more here.
Keywords: relationship; position relationship; dual position; image captioning ... See more keywords
MICER: a pre-trained encoder-decoder architecture for molecular image captioning
Sign Up to like & getrecommendations! Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac545
Abstract: MOTIVATION Automatic recognition of chemical structures from molecular images provides an important avenue for the rediscovery of chemicals. Traditional rule-based approaches that rely on expert knowledge and fail to consider all the stylistic variations of… read more here.
Keywords: architecture molecular; encoder decoder; molecular image; pre trained ... See more keywords
Exploring Multi-Level Attention and Semantic Relationship for Remote Sensing Image Captioning
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2019.2962195
Abstract: Remote sensing image captioning, which aims to understand high-level semantic information and interactions of different ground objects, is a new emerging research topic in recent years. Though image captioning has developed rapidly with convolutional neural… read more here.
Keywords: sensing image; image captioning; remote sensing; level attention ... See more keywords
Multi-Gate Attention Network for Image Captioning
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DOI: 10.1109/access.2021.3067607
Abstract: Self-attention mechanism, which has been successfully applied to current encoder-decoder framework of image captioning, is used to enhance the feature representation in the image encoder and capture the most relevant information for the language decoder.… read more here.
Keywords: image captioning; multi gate; attention; image ... See more keywords
Imageability- and Length-Controllable Image Captioning
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DOI: 10.1109/access.2021.3131393
Abstract: Image captioning can show great performance for generating captions for general purposes, but it remains difficult to adjust the generated captions for different applications. In this paper, we propose an image captioning method which can… read more here.
Keywords: length controllable; image captioning; length; imageability ... See more keywords
EAES: Effective Augmented Embedding Spaces for Text-based Image Captioning
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DOI: 10.1109/access.2022.3158763
Abstract: Text-based Image Captioning has been a novel problem since 2020. This topic remains challenging because it requires the model to comprehend not only the visual context but also the scene texts that appear in an… read more here.
Keywords: module; text based; based image; image captioning ... See more keywords
Deep Learning Approaches Based on Transformer Architectures for Image Captioning Tasks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3161428
Abstract: This paper focuses on visual attention, a state-of-the-art approach for image captioning tasks within the computer vision research area. We study the impact that different hyperparemeter configurations on an encoder-decoder visual attention architecture in terms… read more here.
Keywords: captioning tasks; top accuracy; transformer; deep learning ... See more keywords