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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 351–375 of 671 papers

TitleStatusHype
Learnable Pillar-based Re-ranking for Image-Text RetrievalCode1
Rethinking Benchmarks for Cross-modal Image-text RetrievalCode1
Image-text Retrieval via Preserving Main Semantics of VisionCode1
Is Cross-modal Information Retrieval Possible without Training?—0
SViTT: Temporal Learning of Sparse Video-Text TransformersCode1
Hyperbolic Image-Text RepresentationsCode1
Automated Cardiovascular Record Retrieval by Multimodal Learning between Electrocardiogram and Clinical Report—0
RECLIP: Resource-efficient CLIP by Training with Small Images—0
Exposing and Mitigating Spurious Correlations for Cross-Modal RetrievalCode0
AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content CreationCode3
Free-Form Multi-Modal Multimedia Retrieval (4MR)—0
Equivariant Similarity for Vision-Language Foundation ModelsCode1
Computationally Efficient Labeling of Cancer Related Forum Posts by Non-Clinical Text Information Retrieval—0
CiCo: Domain-Aware Sign Language Retrieval via Cross-Lingual Contrastive Learning—0
On-the-fly Text Retrieval for End-to-End ASR Adaptation—0
Scene Graph Based Fusion Network For Image-Text Retrieval—0
Efficient Image-Text Retrieval via Keyword-Guided Pre-Screening—0
PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical DocumentsCode2
Semantic-Preserving Augmentation for Robust Image-Text RetrievalCode0
Understanding and Constructing Latent Modality Structures in Multi-modal Representation Learning—0
The style transformer with common knowledge optimization for image-text retrieval—0
Deep Learning for Video-Text Retrieval: a Review—0
Cross-Modal Retrieval with Partially Mismatched PairsCode1
Video-Text Retrieval by Supervised Sparse Multi-Grained LearningCode0
Multimodal Federated Learning via Contrastive Representation EnsembleCode1
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