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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 171–180 of 671 papers

TitleStatusHype
Learnable Pillar-based Re-ranking for Image-Text RetrievalCode1
Learning a Text-Video Embedding from Incomplete and Heterogeneous DataCode1
Bridging Video-text Retrieval with Multiple Choice QuestionsCode1
Focus, Distinguish, and Prompt: Unleashing CLIP for Efficient and Flexible Scene Text RetrievalCode1
Cross-modal Contrastive Learning for Speech TranslationCode1
FILIP: Fine-grained Interactive Language-Image Pre-TrainingCode1
Bridging Language Gaps in Audio-Text RetrievalCode1
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse RetrievalCode1
Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language RepresentationsCode1
Fine-Grained Image-Text Matching by Cross-Modal Hard Aligning NetworkCode1
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