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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 126–150 of 671 papers

TitleStatusHype
Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language RepresentationsCode1
Global and Local Semantic Completion Learning for Vision-Language Pre-trainingCode1
Multi-modal Pre-training for Medical Vision-language Understanding and Generation: An Empirical Study with A New BenchmarkCode1
Revisiting the Role of Language Priors in Vision-Language ModelsCode1
Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language ModelsCode1
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
Image-text Retrieval via Preserving Main Semantics of VisionCode1
SViTT: Temporal Learning of Sparse Video-Text TransformersCode1
Hyperbolic Image-Text RepresentationsCode1
Equivariant Similarity for Vision-Language Foundation ModelsCode1
Cross-Modal Retrieval with Partially Mismatched PairsCode1
Multimodal Federated Learning via Contrastive Representation EnsembleCode1
UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal ModelingCode1
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text RetrievalCode1
UPop: Unified and Progressive Pruning for Compressing Vision-Language TransformersCode1
Revisiting Temporal Modeling for CLIP-based Image-to-Video Knowledge TransferringCode1
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