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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 131–140 of 671 papers

TitleStatusHype
FuseCap: Leveraging Large Language Models for Enriched Fused Image CaptionsCode1
CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language TransformersCode1
S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist CaptionsCode1
Enhancing Vision-Language Pre-Training with Jointly Learned Questioner and Dense CaptionerCode1
Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision TransformersCode1
Cross-Modal Retrieval for Motion and Text via DopTriple LossCode1
Understanding Differential Search Index for Text RetrievalCode1
From Association to Generation: Text-only Captioning by Unsupervised Cross-modal MappingCode1
Learnable Pillar-based Re-ranking for Image-Text RetrievalCode1
Rethinking Benchmarks for Cross-modal Image-text RetrievalCode1
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