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Image-text Retrieval

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Showing 101–150 of 248 papers

TitleStatusHype
Reversed in Time: A Novel Temporal-Emphasized Benchmark for Cross-Modal Video-Text RetrievalCode0
Exposing and Mitigating Spurious Correlations for Cross-Modal RetrievalCode0
Adding simple structure at inference improves Vision-Language CompositionalityCode0
Differentiable Outlier Detection Enable Robust Deep Multimodal AnalysisCode0
Integrating Listwise Ranking into Pairwise-based Image-Text RetrievalCode0
NAPReg: Nouns As Proxies Regularization for Semantically Aware Cross-Modal EmbeddingsCode0
Semantic-Preserving Augmentation for Robust Image-Text RetrievalCode0
USER: Unified Semantic Enhancement with Momentum Contrast for Image-Text RetrievalCode0
MultiWay-Adapater: Adapting large-scale multi-modal models for scalable image-text retrievalCode0
Single-Stream Multi-Level Alignment for Vision-Language PretrainingCode0
Stop Pre-Training: Adapt Visual-Language Models to Unseen LanguagesCode0
Dissecting Deep Metric Learning Losses for Image-Text RetrievalCode0
Attacking Attention of Foundation Models Disrupts Downstream TasksCode0
From Unimodal to Multimodal: Scaling up Projectors to Align ModalitiesCode0
Object-Aware Query Perturbation for Cross-Modal Image-Text RetrievalCode0
Enhancing Image-Text Matching with Adaptive Feature AggregationCode0
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural SupervisionCode0
Multi-stage Pre-training over Simplified Multimodal Pre-training ModelsCode0
Multilingual Vision-Language Pre-training for the Remote Sensing DomainCode0
Embracing Language Inclusivity and Diversity in CLIP through Continual Language LearningCode0
Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training BenchmarkCode0
Intra-Modal Constraint Loss For Image-Text RetrievalCode0
Learning Joint Embedding with Multimodal Cues for Cross-Modal Video-Text RetrievalCode0
Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text RetrievalCode0
An Unsupervised Cross-Modal Hashing Method Robust to Noisy Training Image-Text Correspondences in Remote SensingCode0
Improving the Consistency in Cross-Lingual Cross-Modal Retrieval with 1-to-K Contrastive LearningCode0
VL-Taboo: An Analysis of Attribute-based Zero-shot Capabilities of Vision-Language ModelsCode0
MHSAN: Multi-Head Self-Attention Network for Visual Semantic EmbeddingCode0
GSSF: Generalized Structural Sparse Function for Deep Cross-modal Metric LearningCode0
HADA: A Graph-based Amalgamation Framework in Image-text RetrievalCode0
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
Constructing Image-Text Pair Dataset from Books—0
Constructing Phrase-level Semantic Labels to Form Multi-Grained Supervision for Image-Text Retrieval—0
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