SOTAVerified

Image-text Retrieval

Papers

Showing 101125 of 248 papers

TitleStatusHype
FiCo-ITR: bridging fine-grained and coarse-grained image-text retrieval for comparative performance analysisCode0
A Vision-Language Foundation Model for Leaf Disease IdentificationCode0
HADA: A Graph-based Amalgamation Framework in Image-text RetrievalCode0
USER: Unified Semantic Enhancement with Momentum Contrast for Image-Text RetrievalCode0
Reversed in Time: A Novel Temporal-Emphasized Benchmark for Cross-Modal Video-Text RetrievalCode0
Adding simple structure at inference improves Vision-Language CompositionalityCode0
Semantic-Preserving Augmentation for Robust Image-Text RetrievalCode0
Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text RetrievalCode0
SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense FeaturesCode0
Single-Stream Multi-Level Alignment for Vision-Language PretrainingCode0
Stop Pre-Training: Adapt Visual-Language Models to Unseen LanguagesCode0
NAPReg: Nouns As Proxies Regularization for Semantically Aware Cross-Modal EmbeddingsCode0
MultiWay-Adapater: Adapting large-scale multi-modal models for scalable image-text retrievalCode0
Intra-Modal Constraint Loss For Image-Text RetrievalCode0
Exposing and Mitigating Spurious Correlations for Cross-Modal RetrievalCode0
Attacking Attention of Foundation Models Disrupts Downstream TasksCode0
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural SupervisionCode0
From Unimodal to Multimodal: Scaling up Projectors to Align ModalitiesCode0
Multi-stage Pre-training over Simplified Multimodal Pre-training ModelsCode0
Object-Aware Query Perturbation for Cross-Modal Image-Text RetrievalCode0
Dissecting Deep Metric Learning Losses for Image-Text RetrievalCode0
Enhancing Image-Text Matching with Adaptive Feature AggregationCode0
Differentiable Outlier Detection Enable Robust Deep Multimodal AnalysisCode0
An Unsupervised Cross-Modal Hashing Method Robust to Noisy Training Image-Text Correspondences in Remote SensingCode0
VL-Taboo: An Analysis of Attribute-based Zero-shot Capabilities of Vision-Language ModelsCode0
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