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Advancement in Image Caption Generation

Kaamya Sarda, Anshu Mehta, Aleem Ali
openaire   +1 more source

Evaluation of efficacy in prostate cancer contouring for MR-guided radiotherapy using structured contouring training modules. [PDF]

Tech Innov Patient Support Radiat Oncol
Fang B, Zahary Loreman H, Bayley C, Stewart C, George K, Al-Amoodi M, Jooya A, Quon H, Sia M, Lee SL.   +9 more
europepmc   +1 more source

Multi stage generative upscaler recovers low resolution football broadcast images through diffusion models with ControlNet conditioning and LoRA fine tuning. [PDF]

Sci Rep
Martini L, Zolezzi D, Iacono S, Oneto L, Vercelli GV.   +4 more
europepmc   +1 more source

ZebraMap: A Multimodal Rare Disease Knowledge Map with Automated Data Aggregation & LLM-Enriched Information Extraction Pipeline. [PDF]

Diagnostics (Basel)
Islam MS, Jamal A, Alkhathlan A.
europepmc   +1 more source

Correction: Global trends in the application of nanopore sequencing technology in the detection of infectious disease pathogens: a bibliometric analysis from 2014 to 2024. [PDF]

Front Med (Lausanne)
Long J, Zeng B, Li J, Zhang J, Deng G.
europepmc   +1 more source

Integrating curation into scientific publishing to train AI models. [PDF]

Bioinformatics
Abreu-Vicente J, Sonntag H, Eidens T, Mitchell CS, Lemberger T.   +4 more
europepmc   +1 more source

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Topic-Based Image Caption Generation

Arabian Journal for Science and Engineering, 2019
Image captioning is to generate captions for a given image based on the content of the image. To describe an image efficiently, it requires extracting as much information from it as possible. Apart from detecting the presence of objects and their relative orientation, the respective purpose intending the topic of the image is another vital information ...
Sandeep Kumar Dash, Partha Pakray, Ranjita Das   +2 more
exaly   +2 more sources

Adversarial Image Caption Generator Network

SN Computer Science, 2021
Image captioning is a task to make an image description, which needs recognizing the important attributes and also their relationships in the image. This task requires to generate semantically and syntactically correct sentences. Most image captioning models are based on RNN and MLE methods, but we propose a novel model based on GAN networks where it ...
Ali Mollaahmadi Dehaqi, Vahid Seydi, Yeganeh Madadi   +2 more
openaire   +1 more source