Nov 27, 2018 · In this paper, we make the first attempt to train an image captioning model in an unsupervised manner. Instead of relying on manually labeled ...
The architecture of our unsupervised image captioning model, consisting of an image encoder, a sentence generator, and a discriminator. A CNN encodes a given ...
Introduction. Most image captioning models are trained using paired image-sentence data, which are expensive to collect. We propose unsupervised image ...
Dec 2, 2021 · In this paper, we explore the task of unsupervised image captioning which utilizes unpaired images and texts to train the model so that the ...
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Is image captioning supervised or unsupervised?
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Supervised image captioning traditionally relies on paired image-caption data to train a generative model which creates a text description given an input image.
supervised image captioning, i.e., training an image cap- tioning model without ... Unsupervised image captioning relies on a set of images. I = {I1,..., INi } ...
Mar 30, 2024 · The paper's proposed method represents a significant advancement in unsupervised image captioning by effectively addressing the challenge of ...
This paper makes the first attempt to train an image captioning model in an unsupervised manner, and requires an image set, a sentence corpus, ...
Official Pytorch Implementation of the paper: Object-Centric Unsupervised Image Captioning (ECCV2022) - zihangm/obj-centric-unsup-caption.
Unsupervised image captioning is a challenging task that aims at generating captions without the supervision of image-sentence pairs, but only with images and ...