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Image-text Retrieval

Papers

Showing 76100 of 248 papers

TitleStatusHype
Learnable Pillar-based Re-ranking for Image-Text RetrievalCode1
Learning Relation Alignment for Calibrated Cross-modal RetrievalCode1
Enhancing Vision-Language Pre-Training with Jointly Learned Questioner and Dense CaptionerCode1
Equivariant Similarity for Vision-Language Foundation ModelsCode1
ESA: External Space Attention Aggregation for Image-Text RetrievalCode1
Learning the Best Pooling Strategy for Visual Semantic EmbeddingCode1
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text RetrievalCode1
Coarse-to-Fine Vision-Language Pre-training with Fusion in the BackboneCode1
GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-Efficient Medical Image RecognitionCode1
Eye-gaze Guided Multi-modal Alignment for Medical Representation LearningCode1
FETA: Towards Specializing Foundation Models for Expert Task ApplicationsCode1
Global and Local Semantic Completion Learning for Vision-Language Pre-trainingCode1
A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and ReportsCode1
Graph Optimal Transport for Cross-Domain AlignmentCode1
Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional UnderstandingCode1
Image-text Retrieval via Preserving Main Semantics of VisionCode1
FlexiViT: One Model for All Patch SizesCode1
CoSMo: Content-Style Modulation for Image Retrieval With Text FeedbackCode1
Mind the Gap: Benchmarking Spatial Reasoning in Vision-Language ModelsCode1
Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision TransformersCode1
Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training ModelsCode1
Multi-modal Pre-training for Medical Vision-language Understanding and Generation: An Empirical Study with A New BenchmarkCode1
UGNCL: Uncertainty-Guided Noisy Correspondence Learning for Efficient Cross-Modal MatchingCode1
An Unsupervised Cross-Modal Hashing Method Robust to Noisy Training Image-Text Correspondences in Remote SensingCode0
Differentiable Outlier Detection Enable Robust Deep Multimodal AnalysisCode0
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