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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 151–160 of 671 papers

TitleStatusHype
MV-Adapter: Multimodal Video Transfer Learning for Video Text RetrievalCode1
Learning Semantic Relationship Among Instances for Image-Text MatchingCode1
Fine-Grained Image-Text Matching by Cross-Modal Hard Aligning NetworkCode1
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse RetrievalCode1
Benchmarking Robustness of Multimodal Image-Text Models under Distribution ShiftCode1
FlexiViT: One Model for All Patch SizesCode1
DialogCC: An Automated Pipeline for Creating High-Quality Multi-Modal Dialogue DatasetCode1
ComCLIP: Training-Free Compositional Image and Text MatchingCode1
Seeing What You Miss: Vision-Language Pre-training with Semantic Completion LearningCode1
COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust LearningCode1
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