mlsanityData to 7 Oct 2026

MMIS: Multimodal Dataset for Interior Scene Visual Generation and Recognition

arXiv 2407.05980 ↗First posted 8 Jul 2024cs.CVcited by 2

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Abstract (arXiv)

We introduce MMIS, a novel dataset designed to advance MultiModal Interior Scene generation and recognition. MMIS consists of nearly 160,000 images. Each image within the dataset is accompanied by its corresponding textual description and an audio recording of that description, providing rich and diverse sources of information for scene generation and recognition. MMIS encompasses a wide range of interior spaces, capturing various styles, layouts, and furnishings. To construct this dataset, we employed careful processes involving the collection of images, the generation of textual descriptions, and corresponding speech annotations. The presented dataset contributes to research in multi-modal representation learning tasks such as image generation, retrieval, captioning, and classification.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 13 of its 19 references that are in the map. First posted on arXiv 8 Jul 2024.

Builds on

13 of 19 references.

References · 13

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1 more
  1. 2021MARL: Multimodal Attentional Representation Learning for Disease Predictioncited by 3

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2 papers.