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Image-text Retrieval

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Showing 151–175 of 248 papers

TitleStatusHype
Improving Adversarial Transferability of Vision-Language Pre-training Models through Collaborative Multimodal Interaction—0
Enhancing Conceptual Understanding in Multimodal Contrastive Learning through Hard Negative Samples—0
Embracing Language Inclusivity and Diversity in CLIP through Continual Language LearningCode0
Enhancing Image-Text Matching with Adaptive Feature AggregationCode0
SyCoCa: Symmetrizing Contrastive Captioners with Attentive Masking for Multimodal Alignment—0
Filter & Align: Leveraging Human Knowledge to Curate Image-Text Data—0
LightCLIP: Learning Multi-Level Interaction for Lightweight Vision-Language Models—0
IG Captioner: Information Gain Captioners are Strong Zero-shot Classifiers—0
A New Fine-grained Alignment Method for Image-text Matching—0
MCAD: Multi-teacher Cross-modal Alignment Distillation for efficient image-text retrieval—0
Direction-Oriented Visual-semantic Embedding Model for Remote Sensing Image-text Retrieval—0
Ziya-Visual: Bilingual Large Vision-Language Model via Multi-Task Instruction Tuning—0
Constructing Image-Text Pair Dataset from Books—0
Dual Relation Alignment for Composed Image Retrieval—0
MultiWay-Adapater: Adapting large-scale multi-modal models for scalable image-text retrievalCode0
Contrastive Feature Masking Open-Vocabulary Vision Transformer—0
DLIP: Distilling Language-Image Pre-training—0
EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE—0
Free-ATM: Exploring Unsupervised Learning on Diffusion-Generated Images with Free Attention Masks—0
Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP—0
Stop Pre-Training: Adapt Visual-Language Models to Unseen LanguagesCode0
Switch-BERT: Learning to Model Multimodal Interactions by Switching Attention and Input—0
Integrating Listwise Ranking into Pairwise-based Image-Text RetrievalCode0
Hypernymization of named entity-rich captions for grounding-based multi-modal pretraining—0
RECLIP: Resource-efficient CLIP by Training with Small Images—0
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