Image Paragraph Captioning
5 papers with code • 1 benchmarks • 1 datasets
Image paragraph captioning involves generating a detailed, multi-sentence description of the content of an image.
Benchmarks
These leaderboards are used to track progress in Image Paragraph Captioning
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Image Paragraph Captioning
Most implemented papers
A Hierarchical Approach for Generating Descriptive Image Paragraphs
chenxinpeng/im2p
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CVPR 2017
Recent progress on image captioning has made it possible to generate novel sentences describing images in natural language, but compressing an image into a single sentence can describe visual content in only coarse detail.
Training for Diversity in Image Paragraph Captioning
lukemelas/image-paragraph-captioning
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EMNLP 2018
Image paragraph captioning models aim to produce detailed descriptions of a source image.
Context-Aware Visual Policy Network for Fine-Grained Image Captioning
daqingliu/CAVP
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With the maturity of visual detection techniques, we are more ambitious in describing visual content with open-vocabulary, fine-grained and free-form language, i. e., the task of image captioning.
Matching Visual Features to Hierarchical Semantic Topics for Image Paragraph Captioning
dandanguo1993/vtcm-based-image-paragraph-caption
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Inspired by recent successes in integrating semantic topics into this task, this paper develops a plug-and-play hierarchical-topic-guided image paragraph generation framework, which couples a visual extractor with a deep topic model to guide the learning of a language model.
VLIS: Unimodal Language Models Guide Multimodal Language Generation
jiwanchung/vlis
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Multimodal language generation, which leverages the synergy of language and vision, is a rapidly expanding field.
