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Text Retrieval

Text Retrieval is the task of finding the most text result (such as an answer, paragraph, or passage) given a query (which could be a question, keywords, or any relevant text)

Papers

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Showing 71–80 of 671 papers

TitleStatusHype
A Survey of Medical Vision-and-Language Applications and Their TechniquesCode1
Nearest Neighbor Normalization Improves Multimodal RetrievalCode1
Text Proxy: Decomposing Retrieval from a 1-to-N Relationship into N 1-to-1 Relationships for Text-Video RetrievalCode1
ReCLAP: Improving Zero Shot Audio Classification by Describing SoundsCode1
COM Kitchens: An Unedited Overhead-view Video Dataset as a Vision-Language BenchmarkCode1
Focus, Distinguish, and Prompt: Unleashing CLIP for Efficient and Flexible Scene Text RetrievalCode1
Learning Video Context as Interleaved Multimodal SequencesCode1
Video-Language Alignment via Spatio-Temporal Graph TransformerCode1
CVLUE: A New Benchmark Dataset for Chinese Vision-Language Understanding EvaluationCode1
SignCLIP: Connecting Text and Sign Language by Contrastive LearningCode1
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