SOTAVerified

Text Matching

Matching a target text to a source text based on their meaning.

Papers

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Showing 251–275 of 364 papers

TitleStatusHype
Modality-Balanced Embedding for Video Retrieval—0
Dynamic Visual Semantic Sub-Embeddings and Fast Re-Ranking—0
More Than Just Attention: Improving Cross-Modal Attentions with Contrastive Constraints for Image-Text Matching—0
More Than Just Attention: Improving Cross-Modal Attentions with Contrastive Constraints for Image-Text Matching—0
MedUnifier: Unifying Vision-and-Language Pre-training on Medical Data with Vision Generation Task using Discrete Visual Representations—0
Uncertainty-based Cross-Modal Retrieval with Probabilistic Representations—0
Multi-Head Attention Driven Dynamic Visual-Semantic Embedding for Enhanced Image-Text Matching—0
Multi-Intent Attribute-Aware Text Matching in Searching—0
Unified Multimodal Pre-training and Prompt-based Tuning for Vision-Language Understanding and Generation—0
Multi-Modal Representation Learning with Text-Driven Soft Masks—0
Multiresolution Graph Attention Networks for Relevance Matching—0
MURAL: Multimodal, Multitask Representations Across Languages—0
MURAL: Multimodal, Multitask Retrieval Across Languages—0
Unified Vision-Language Representation Modeling for E-Commerce Same-Style Products Retrieval—0
Uniformly Distributed Category Prototype-Guided Vision-Language Framework for Long-Tail Recognition—0
Neural Graph Matching Networks for Chinese Short Text Matching—0
Uniform Masking Prevails in Vision-Language Pretraining—0
Neural Networks Models for Analyzing Magic: the Gathering Cards—0
NEVLP: Noise-Robust Framework for Efficient Vision-Language Pre-training—0
UNITER: Learning UNiversal Image-TExt Representations—0
Object-centric Binding in Contrastive Language-Image Pretraining—0
One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text—0
One-Shot Item Search with Multimodal Data—0
Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging—0
OT-Attack: Enhancing Adversarial Transferability of Vision-Language Models via Optimal Transport Optimization—0
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