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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 381–390 of 671 papers

TitleStatusHype
STAIR: Learning Sparse Text and Image Representation in Grounded Tokens—0
Revisiting Temporal Modeling for CLIP-based Image-to-Video Knowledge TransferringCode1
MV-Adapter: Multimodal Video Transfer Learning for Video Text RetrievalCode1
USER: Unified Semantic Enhancement with Momentum Contrast for Image-Text RetrievalCode0
HADA: A Graph-based Amalgamation Framework in Image-text RetrievalCode0
NAPReg: Nouns As Proxies Regularization for Semantically Aware Cross-Modal EmbeddingsCode0
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse RetrievalCode1
VL-Match: Enhancing Vision-Language Pretraining with Token-Level and Instance-Level Matching—0
HiVLP: Hierarchical Interactive Video-Language Pre-Training—0
Lecture Presentations Multimodal Dataset: Towards Understanding Multimodality in Educational Videos—0
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