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Image-text Retrieval

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Showing 1–50 of 248 papers

TitleStatusHype
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and GenerationCode5
FG-CLIP: Fine-Grained Visual and Textual AlignmentCode4
Multi-label Cluster Discrimination for Visual Representation LearningCode4
Temporal Working Memory: Query-Guided Segment Refinement for Enhanced Multimodal UnderstandingCode3
M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language ModelsCode3
ONE-PEACE: Exploring One General Representation Model Toward Unlimited ModalitiesCode3
AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content CreationCode3
Vision-Language Pre-training: Basics, Recent Advances, and Future TrendsCode3
FlagEvalMM: A Flexible Framework for Comprehensive Multimodal Model EvaluationCode2
Med3DVLM: An Efficient Vision-Language Model for 3D Medical Image AnalysisCode2
BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific LiteratureCode2
Towards Vision-Language Geo-Foundation Model: A SurveyCode2
RWKV-CLIP: A Robust Vision-Language Representation LearnerCode2
Accelerating Transformers with Spectrum-Preserving Token MergingCode2
DreamLIP: Language-Image Pre-training with Long CaptionsCode2
Cross-Modal and Uni-Modal Soft-Label Alignment for Image-Text RetrievalCode2
Frozen Transformers in Language Models Are Effective Visual Encoder LayersCode2
VeCLIP: Improving CLIP Training via Visual-enriched CaptionsCode2
RemoteCLIP: A Vision Language Foundation Model for Remote SensingCode2
PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical DocumentsCode2
MedCLIP: Contrastive Learning from Unpaired Medical Images and TextCode2
Cross-lingual and Multilingual CLIPCode2
Vision-Language Pre-Training with Triple Contrastive LearningCode2
WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine LearningCode2
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text SupervisionCode2
Mind the Gap: Benchmarking Spatial Reasoning in Vision-Language ModelsCode1
ReCon: Enhancing True Correspondence Discrimination through Relation Consistency for Robust Noisy Correspondence LearningCode1
I0T: Embedding Standardization Method Towards Zero Modality GapCode1
A Survey of Medical Vision-and-Language Applications and Their TechniquesCode1
Nearest Neighbor Normalization Improves Multimodal RetrievalCode1
PC^2: Pseudo-Classification Based Pseudo-Captioning for Noisy Correspondence Learning in Cross-Modal RetrievalCode1
UGNCL: Uncertainty-Guided Noisy Correspondence Learning for Efficient Cross-Modal MatchingCode1
CVLUE: A New Benchmark Dataset for Chinese Vision-Language Understanding EvaluationCode1
Composing Object Relations and Attributes for Image-Text MatchingCode1
Transcending Fusion: A Multi-Scale Alignment Method for Remote Sensing Image-Text RetrievalCode1
PIR: Remote Sensing Image-Text Retrieval with Prior Instruction Representation LearningCode1
Eye-gaze Guided Multi-modal Alignment for Medical Representation LearningCode1
MLLMs-Augmented Visual-Language Representation LearningCode1
A Prior Instruction Representation Framework for Remote Sensing Image-text RetrievalCode1
ESA: External Space Attention Aggregation for Image-Text RetrievalCode1
Towards Fast and Accurate Image-Text Retrieval with Self-Supervised Fine-Grained AlignmentCode1
Parameter-Efficient Transfer Learning for Remote Sensing Image-Text RetrievalCode1
ALIP: Adaptive Language-Image Pre-training with Synthetic CaptionCode1
AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive LearningCode1
Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training ModelsCode1
mCLIP: Multilingual CLIP via Cross-lingual TransferCode1
Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional UnderstandingCode1
Efficient Token-Guided Image-Text Retrieval with Consistent Multimodal Contrastive TrainingCode1
Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language RepresentationsCode1
Global and Local Semantic Completion Learning for Vision-Language Pre-trainingCode1
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