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Image-text Retrieval

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Showing 151–200 of 248 papers

TitleStatusHype
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
HiVLP: Hierarchical Vision-Language Pre-Training for Fast Image-Text Retrieval—0
How to Make Cross Encoder a Good Teacher for Efficient Image-Text Retrieval?—0
Hypernymization of named entity-rich captions for grounding-based multi-modal pretraining—0
IG Captioner: Information Gain Captioners are Strong Zero-shot Classifiers—0
Image-text Retrieval: A Survey on Recent Research and Development—0
Image-Text Retrieval with Binary and Continuous Label Supervision—0
Improving Adversarial Transferability of Vision-Language Pre-training Models through Collaborative Multimodal Interaction—0
Knowledge-grounded Adaptation Strategy for Vision-language Models: Building Unique Case-set for Screening Mammograms for Residents Training—0
Knowledge Transfer Across Modalities with Natural Language Supervision—0
Learning Multi-Modal Nonlinear Embeddings: Performance Bounds and an Algorithm—0
Learning to embed semantic similarity for joint image-text retrieval—0
Multimodal Adversarial Defense for Vision-Language Models by Leveraging One-To-Many Relationships—0
LightCLIP: Learning Multi-Level Interaction for Lightweight Vision-Language Models—0
LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning—0
Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models—0
LoopITR: Combining Dual and Cross Encoder Architectures for Image-Text Retrieval—0
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