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Image-text matching

Image-Text Matching is a subtask within Cross-Modal Retrieval (CMR) that involves establishing associations between images and corresponding textual descriptions. The goal is to retrieve an image given a textual query or, conversely, retrieve a textual description given an image query. This task is challenging due to the heterogeneity gap between image and text data representations. Image-text matching is used in applications such as content-based image search, visual question answering, and multimodal summarization.

Assessing Brittleness of Image-Text Retrieval Benchmarks from Vision-Language Models Perspective

Papers

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Showing 51–75 of 188 papers

TitleStatusHype
Backdoor Attack on Unpaired Medical Image-Text Foundation Models: A Pilot Study on MedCLIPCode0
Negative Pre-aware for Noisy Cross-modal MatchingCode1
OT-Attack: Enhancing Adversarial Transferability of Vision-Language Models via Optimal Transport Optimization—0
CILF-CIAE: CLIP-driven Image-Language Fusion for Correcting Inverse Age Estimation—0
Synthesize, Diagnose, and Optimize: Towards Fine-Grained Vision-Language UnderstandingCode1
Emergent Open-Vocabulary Semantic Segmentation from Off-the-shelf Vision-Language ModelsCode1
MMoE: Enhancing Multimodal Models with Mixtures of Multimodal Interaction ExpertsCode1
Active Mining Sample Pair Semantics for Image-text Matching—0
A New Fine-grained Alignment Method for Image-text Matching—0
Cross-modal Active Complementary Learning with Self-refining CorrespondenceCode1
Learning Comprehensive Representations with Richer Self for Text-to-Image Person Re-Identification—0
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal RetrievalCode1
Align before Search: Aligning Ads Image to Text for Accurate Cross-Modal Sponsored SearchCode0
Dynamic Visual Semantic Sub-Embeddings and Fast Re-Ranking—0
Improving Multimodal Classification of Social Media Posts by Leveraging Image-Text Auxiliary TasksCode0
Towards Better Multi-modal Keyphrase Generation via Visual Entity Enhancement and Multi-granularity Image Noise FilteringCode0
ViLTA: Enhancing Vision-Language Pre-training through Textual Augmentation—0
Parameter-Efficient Transfer Learning for Remote Sensing Image-Text RetrievalCode1
Uniformly Distributed Category Prototype-Guided Vision-Language Framework for Long-Tail Recognition—0
EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE—0
Towards Grounded Visual Spatial Reasoning in Multi-Modal Vision Language Models—0
Your Negative May not Be True Negative: Boosting Image-Text Matching with False Negative EliminationCode1
Grounded Image Text Matching with Mismatched Relation Reasoning—0
A Systematic Survey of Prompt Engineering on Vision-Language Foundation ModelsCode2
Advancing Visual Grounding with Scene Knowledge: Benchmark and MethodCode1
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