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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 301–325 of 671 papers

TitleStatusHype
Multi-event Video-Text RetrievalCode1
ALIP: Adaptive Language-Image Pre-training with Synthetic CaptionCode1
Vision-Language Dataset DistillationCode1
Helping Hands: An Object-Aware Ego-Centric Video Recognition ModelCode1
AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive LearningCode1
Free-ATM: Exploring Unsupervised Learning on Diffusion-Generated Images with Free Attention Masks—0
Embedding-based Retrieval with LLM for Effective Agriculture Information Extracting from Unstructured Data—0
The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open WorldCode2
Defense of Adversarial Ranking Attack in Text Retrieval: Benchmark and Baseline via Detection—0
Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training ModelsCode1
PRIOR: Prototype Representation Joint Learning from Medical Images and ReportsCode1
Towards a Visual-Language Foundation Model for Computational Pathology—0
Extracting Molecular Properties from Natural Language with Multimodal Contrastive Learning—0
Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP—0
mCLIP: Multilingual CLIP via Cross-lingual TransferCode1
Stop Pre-Training: Adapt Visual-Language Models to Unseen LanguagesCode0
Learning to Rank in Generative RetrievalCode1
Switch-BERT: Learning to Model Multimodal Interactions by Switching Attention and Input—0
TaCA: Upgrading Your Visual Foundation Model with Task-agnostic Compatible AdapterCode0
Align, Adapt and Inject: Sound-guided Unified Image Generation—0
RS5M and GeoRSCLIP: A Large Scale Vision-Language Dataset and A Large Vision-Language Model for Remote SensingCode2
MSVD-Indonesian: A Benchmark for Multimodal Video-Text Tasks in IndonesianCode0
RemoteCLIP: A Vision Language Foundation Model for Remote SensingCode2
Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional UnderstandingCode1
Efficient Token-Guided Image-Text Retrieval with Consistent Multimodal Contrastive TrainingCode1
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