arXiv:2406.07227
공식 코드 · Papers with Code
Which Country Is This? Automatic Country Ranking of Street View Photos
원문 초록
In this demonstration, we present Country Guesser, a live system that guesses the country that a photo is taken in. In particular, given a Google Street View image, our federated ranking model uses a combination of computer vision, machine learning and text retrieval methods to compute a ranking of likely countries of the location shown in a given image from Street View. Interestingly, using text-based features to probe large pre-trained language models can assist to provide cross-modal supervision. We are not aware of previous country guessing systems informed by visual and textual features.
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Tree-Based Text Retrieval via Hierarchical Clustering in RAGFrameworks: Application on Taiwanese Regulations
TableRAG: A Retrieval Augmented Generation Framework for Heterogeneous Document Reasoning
MSTAR: Box-free Multi-query Scene Text Retrieval with Attention Recycling
GLAP: General contrastive audio-text pretraining across domains and languages
Adding simple structure at inference improves Vision-Language Compositionality
DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval
토론
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