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Arxiv
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Room Scene Discovery and Grouping in Unstructured Vacation Rental Image Collections
- The research addresses the challenge of room scene discovery and grouping in unstructured vacation rental image collections.
- The proposed approach uses machine learning for room-type detection, overlap detection, and clustering of images to help travelers understand property layouts.
- A supervised pipeline is introduced, focused on efficiency, low latency, and sample-efficient learning for real-time and data-scarce environments.
- The models and pipeline developed in the research show strong performance in room scene discovery and grouping, surpassing existing methods like contrastive learning and clustering with pretrained embeddings.
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