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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 221–230 of 671 papers

TitleStatusHype
GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-Efficient Medical Image RecognitionCode1
Learning the Best Pooling Strategy for Visual Semantic EmbeddingCode1
A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and ReportsCode1
Consensus-Aware Visual-Semantic Embedding for Image-Text MatchingCode1
Language-agnostic BERT Sentence EmbeddingCode1
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text RetrievalCode1
Graph Optimal Transport for Cross-Domain AlignmentCode1
Large-Scale Adversarial Training for Vision-and-Language Representation LearningCode1
Pixel-BERT: Aligning Image Pixels with Text by Deep Multi-Modal TransformersCode1
IMRAM: Iterative Matching with Recurrent Attention Memory for Cross-Modal Image-Text RetrievalCode1
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