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Image-text Retrieval

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TitleStatusHype
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
Constructing Phrase-level Semantic Labels to Form Multi-GrainedSupervision for Image-Text Retrieval—0
Context-Aware Attention Network for Image-Text Retrieval—0
Continual learning in cross-modal retrieval—0
Contrastive Feature Masking Open-Vocabulary Vision Transformer—0
CosmoCLIP: Generalizing Large Vision-Language Models for Astronomical Imaging—0
COTS: Collaborative Two-Stream Vision-Language Pre-Training Model for Cross-Modal Retrieval—0
CPL: Counterfactual Prompt Learning for Vision and Language Models—0
Crossmodal-3600: A Massively Multilingual Multimodal Evaluation Dataset—0
A New Fine-grained Alignment Method for Image-text Matching—0
CtrlSynth: Controllable Image Text Synthesis for Data-Efficient Multimodal Learning—0
DCFormer: Efficient 3D Vision-Language Modeling with Decomposed Convolutions—0
Deep Semantic Multimodal Hashing Network for Scalable Image-Text and Video-Text Retrievals—0
Direction-Oriented Visual-semantic Embedding Model for Remote Sensing Image-text Retrieval—0
VladVA: Discriminative Fine-tuning of LVLMs—0
Distill CLIP (DCLIP): Enhancing Image-Text Retrieval via Cross-Modal Transformer Distillation—0
DLIP: Distilling Language-Image Pre-training—0
Dual Relation Alignment for Composed Image Retrieval—0
Dynamic Contrastive Distillation for Image-Text Retrieval—0
Efficient Image Captioning for Edge Devices—0
Efficient Image-Text Retrieval via Keyword-Guided Pre-Screening—0
Efficient Multilingual Multi-modal Pre-training through Triple Contrastive Loss—0
Enhancing Conceptual Understanding in Multimodal Contrastive Learning through Hard Negative Samples—0
EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models—0
EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE—0
Explaining and Mitigating the Modality Gap in Contrastive Multimodal Learning—0
Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach—0
FocalLens: Instruction Tuning Enables Zero-Shot Conditional Image Representations—0
Free-ATM: Exploring Unsupervised Learning on Diffusion-Generated Images with Free Attention Masks—0
GAFNet: A Global Fourier Self Attention Based Novel Network for multi-modal downstream tasks—0
Generative Negative Text Replay for Continual Vision-Language Pretraining—0
Global–Local Information Soft-Alignment for Cross-Modal Remote-Sensing Image–Text Retrieval—0
HGAN: Hierarchical Graph Alignment Network for Image-Text Retrieval—0
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