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Image-text Retrieval

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Showing 26–50 of 248 papers

TitleStatusHype
DCFormer: Efficient 3D Vision-Language Modeling with Decomposed Convolutions—0
MASS: Overcoming Language Bias in Image-Text Matching—0
TSVC:Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval—0
BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific LiteratureCode2
Advancing Myopia To Holism: Fully Contrastive Language-Image Pre-training—0
Reversed in Time: A Novel Temporal-Emphasized Benchmark for Cross-Modal Video-Text RetrievalCode0
I0T: Embedding Standardization Method Towards Zero Modality GapCode1
Barking Up The Syntactic Tree: Enhancing VLM Training with Syntactic Losses—0
Explaining and Mitigating the Modality Gap in Contrastive Multimodal Learning—0
VladVA: Discriminative Fine-tuning of LVLMs—0
Approximate Fiber Product: A Preliminary Algebraic-Geometric Perspective on Multimodal Embedding Alignment—0
Knowledge Transfer Across Modalities with Natural Language Supervision—0
Uni-Mlip: Unified Self-supervision for Medical Vision Language Pre-training—0
A Survey of Medical Vision-and-Language Applications and Their TechniquesCode1
Nearest Neighbor Normalization Improves Multimodal RetrievalCode1
Multilingual Vision-Language Pre-training for the Remote Sensing DomainCode0
GSSF: Generalized Structural Sparse Function for Deep Cross-modal Metric LearningCode0
CtrlSynth: Controllable Image Text Synthesis for Data-Efficient Multimodal Learning—0
AnyAttack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models—0
From Unimodal to Multimodal: Scaling up Projectors to Align ModalitiesCode0
NEVLP: Noise-Robust Framework for Efficient Vision-Language Pre-training—0
Pushing the Limits of Vision-Language Models in Remote Sensing without Human Annotations—0
Toward Automatic Relevance Judgment using Vision--Language Models for Image--Text Retrieval Evaluation—0
PC^2: Pseudo-Classification Based Pseudo-Captioning for Noisy Correspondence Learning in Cross-Modal RetrievalCode1
FiCo-ITR: bridging fine-grained and coarse-grained image-text retrieval for comparative performance analysisCode0
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