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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 501–550 of 671 papers

TitleStatusHype
HGAN: Hierarchical Graph Alignment Network for Image-Text Retrieval—0
Retrieval-based Disentangled Representation Learning with Natural Language Supervision—0
NLIP: Noise-robust Language-Image Pre-training—0
Pre-trained Language Models Can be Fully Zero-Shot LearnersCode0
Attentive Deep Neural Networks for Legal Document Retrieval—0
Scale-Semantic Joint Decoupling Network for Image-text Retrieval in Remote Sensing—0
Named Entity and Relation Extraction with Multi-Modal Retrieval—0
Masked Contrastive Pre-Training for Efficient Video-Text Retrieval—0
MSLKANet: A Multi-Scale Large Kernel Attention Network for Scene Text Removal—0
On Negative Sampling for Contrastive Audio-Text Retrieval—0
Arabic Text Mining—0
M-SpeechCLIP: Leveraging Large-Scale, Pre-Trained Models for Multilingual Speech to Image Retrieval—0
Exploring Train and Test-Time Augmentations for Audio-Language Learning—0
Generative Negative Text Replay for Continual Vision-Language Pretraining—0
RSVG: Exploring Data and Models for Visual Grounding on Remote Sensing Data—0
Dissecting Deep Metric Learning Losses for Image-Text RetrievalCode0
SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval—0
An Analysis of Fusion Functions for Hybrid Retrieval—0
Image-Text Retrieval with Binary and Continuous Label Supervision—0
MAMO: Masked Multimodal Modeling for Fine-Grained Vision-Language Representation Learning—0
Learning to embed semantic similarity for joint image-text retrieval—0
Efficient Multilingual Multi-modal Pre-training through Triple Contrastive Loss—0
Label Smoothing for Text Mining—0
Re-Imagen: Retrieval-Augmented Text-to-Image Generator—0
Unified Loss of Pair Similarity Optimization for Vision-Language Retrieval—0
TokenFlow: Rethinking Fine-grained Cross-modal Alignment in Vision-Language Retrieval—0
Text-Adaptive Multiple Visual Prototype Matching for Video-Text Retrieval—0
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks—0
Unified Generative & Dense Retrieval for Query Rewriting in Sponsored Search—0
VL-Taboo: An Analysis of Attribute-based Zero-shot Capabilities of Vision-Language ModelsCode0
Design of the topology for contrastive visual-textual alignmentCode0
Revising Image-Text Retrieval via Multi-Modal Entailment—0
CODER: Coupled Diversity-Sensitive Momentum Contrastive Learning for Image-Text Retrieval—0
VLMAE: Vision-Language Masked Autoencoder—0
On the Value of Behavioral Representations for Dense Retrieval—0
Boosting Video-Text Retrieval with Explicit High-Level Semantics—0
Paired Cross-Modal Data Augmentation for Fine-Grained Image-to-Text Retrieval—0
LaT: Latent Translation with Cycle-Consistency for Video-Text Retrieval—0
Intra-Modal Constraint Loss For Image-Text RetrievalCode0
Dynamic Contrastive Distillation for Image-Text Retrieval—0
GazBy: Gaze-Based BERT Model to Incorporate Human Attention in Neural Information Retrieval—0
Towards Robust Ranker for Text Retrieval—0
VL-BEiT: Generative Vision-Language Pretraining—0
Generalizing Multimodal Pre-training into Multilingual via Language Acquisition—0
Prompt-based Learning for Unpaired Image Captioning—0
HiVLP: Hierarchical Vision-Language Pre-Training for Fast Image-Text Retrieval—0
Scene-Text Aware Image and Text Retrieval with Dual-Encoder—0
TRAttack”:" Text Rewriting Attack Against Text Retrieval—0
Progressive Learning for Image Retrieval with Hybrid-Modality Queries—0
COTS: Collaborative Two-Stream Vision-Language Pre-Training Model for Cross-Modal Retrieval—0
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