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Image-text Retrieval

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Showing 126–150 of 248 papers

TitleStatusHype
Improving the Consistency in Cross-Lingual Cross-Modal Retrieval with 1-to-K Contrastive LearningCode0
Learning Joint Embedding with Multimodal Cues for Cross-Modal Video-Text RetrievalCode0
Embracing Language Inclusivity and Diversity in CLIP through Continual Language LearningCode0
Integrating Listwise Ranking into Pairwise-based Image-Text RetrievalCode0
Multilingual Vision-Language Pre-training for the Remote Sensing DomainCode0
GSSF: Generalized Structural Sparse Function for Deep Cross-modal Metric LearningCode0
Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training BenchmarkCode0
Ziya-Visual: Bilingual Large Vision-Language Model via Multi-Task Instruction Tuning—0
MedUnifier: Unifying Vision-and-Language Pre-training on Medical Data with Vision Generation Task using Discrete Visual Representations—0
Active Learning for Finely-Categorized Image-Text Retrieval by Selecting Hard Negative Unpaired Samples—0
Advancing Myopia To Holism: Fully Contrastive Language-Image Pre-training—0
AGATE: Stealthy Black-box Watermarking for Multimodal Model Copyright Protection—0
Anatomy-Aware Conditional Image-Text Retrieval—0
AnyAttack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models—0
Approximate Fiber Product: A Preliminary Algebraic-Geometric Perspective on Multimodal Embedding Alignment—0
Assessing Brittleness of Image-Text Retrieval Benchmarks from Vision-Language Models Perspective—0
Asymmetrically Weighted CCA And Hierarchical Kernel Sentence Embedding For Image & Text Retrieval—0
Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP—0
Barking Up The Syntactic Tree: Enhancing VLM Training with Syntactic Losses—0
Beat: Bi-directional One-to-Many Embedding Alignment for Text-based Person Retrieval—0
Breaking Language Barriers or Reinforcing Bias? A Study of Gender and Racial Disparities in Multilingual Contrastive Vision Language Models—0
Breaking the Modality Barrier: Universal Embedding Learning with Multimodal LLMs—0
CODER: Coupled Diversity-Sensitive Momentum Contrastive Learning for Image-Text Retrieval—0
CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval—0
Filter & Align: Leveraging Human Knowledge to Curate Image-Text Data—0
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