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Image-text Retrieval

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Showing 201–225 of 248 papers

TitleStatusHype
Masked Contrastive Pre-Training for Efficient Video-Text Retrieval—0
MASS: Overcoming Language Bias in Image-Text Matching—0
Maximal Matching Matters: Preventing Representation Collapse for Robust Cross-Modal Retrieval—0
MCAD: Multi-teacher Cross-modal Alignment Distillation for efficient image-text retrieval—0
Multilateral Semantic Relations Modeling for Image Text Retrieval—0
Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text Retrieval—0
NEVLP: Noise-Robust Framework for Efficient Vision-Language Pre-training—0
NLIP: Noise-robust Language-Image Pre-training—0
Playing Lottery Tickets with Vision and Language—0
Probing Inter-modality: Visual Parsing with Self-Attention for Vision-Language Pre-training—0
Progressive Learning for Image Retrieval with Hybrid-Modality Queries—0
Progressive Local Alignment for Medical Multimodal Pre-training—0
Prompt-based Learning for Unpaired Image Captioning—0
Pushing the Limits of Vision-Language Models in Remote Sensing without Human Annotations—0
RECLIP: Resource-efficient CLIP by Training with Small Images—0
Re-Imagen: Retrieval-Augmented Text-to-Image Generator—0
Representation Discrepancy Bridging Method for Remote Sensing Image-Text Retrieval—0
Revising Image-Text Retrieval via Multi-Modal Entailment—0
Robust Cross-Modal Representation Learning with Progressive Self-Distillation—0
RSVG: Exploring Data and Models for Visual Grounding on Remote Sensing Data—0
Scale-Semantic Joint Decoupling Network for Image-text Retrieval in Remote Sensing—0
Scene Graph Based Fusion Network For Image-Text Retrieval—0
Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement—0
SeLIP: Similarity Enhanced Contrastive Language Image Pretraining for Multi-modal Head MRI—0
SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features—0
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