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Image-text Retrieval

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Showing 201–248 of 248 papers

TitleStatusHype
CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval—0
Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training BenchmarkCode0
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and GenerationCode5
Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text Retrieval—0
Unified Multimodal Pre-training and Prompt-based Tuning for Vision-Language Understanding and Generation—0
UFO: A UniFied TransfOrmer for Vision-Language Representation Learning—0
Constructing Phrase-level Semantic Labels to Form Multi-GrainedSupervision for Image-Text Retrieval—0
SwAMP: Swapped Assignment of Multi-Modal Pairs for Cross-Modal Retrieval—0
FILIP: Fine-grained Interactive Language-Image Pre-TrainingCode1
Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text RetrievalCode0
VLMo: Unified Vision-Language Pre-Training with Mixture-of-Modality-ExpertsCode1
Constructing Phrase-level Semantic Labels to Form Multi-Grained Supervision for Image-Text Retrieval—0
Multi-stage Pre-training over Simplified Multimodal Pre-training ModelsCode0
Align before Fuse: Vision and Language Representation Learning with Momentum DistillationCode1
Dynamic Modality Interaction Modeling for Image-Text RetrievalCode1
Probing Inter-modality: Visual Parsing with Self-Attention for Vision-Language Pre-training—0
CoSMo: Content-Style Modulation for Image Retrieval With Text FeedbackCode1
A Deep Local and Global Scene-Graph Matching for Image-Text RetrievalCode1
Learning Relation Alignment for Calibrated Cross-modal RetrievalCode1
Survey of Visual-Semantic Embedding Methods for Zero-Shot Image Retrieval—0
Playing Lottery Tickets with Vision and Language—0
Continual learning in cross-modal retrieval—0
UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre-training—0
LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text RetrievalCode1
WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine LearningCode2
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text SupervisionCode2
GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-Efficient Medical Image RecognitionCode1
Learning the Best Pooling Strategy for Visual Semantic EmbeddingCode1
A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and ReportsCode1
Graph Optimal Transport for Cross-Domain AlignmentCode1
Large-Scale Adversarial Training for Vision-and-Language Representation LearningCode1
Learning Multi-Modal Nonlinear Embeddings: Performance Bounds and an Algorithm—0
Context-Aware Attention Network for Image-Text Retrieval—0
Pixel-BERT: Aligning Image Pixels with Text by Deep Multi-Modal TransformersCode1
IMRAM: Iterative Matching with Recurrent Attention Memory for Cross-Modal Image-Text RetrievalCode1
XGPT: Cross-modal Generative Pre-Training for Image Captioning—0
MHSAN: Multi-Head Self-Attention Network for Visual Semantic EmbeddingCode0
Cross-modal Scene Graph Matching for Relationship-aware Image-Text RetrievalCode1
UNITER: Learning UNiversal Image-TExt Representations—0
UNITER: UNiversal Image-TExt Representation LearningCode1
Unicoder-VL: A Universal Encoder for Vision and Language by Cross-modal Pre-training—0
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural SupervisionCode0
Deep Semantic Multimodal Hashing Network for Scalable Image-Text and Video-Text Retrievals—0
Webly Supervised Joint Embedding for Cross-Modal lmage-Text Retrieval—0
Webly Supervised Joint Embedding for Cross-Modal Image-Text Retrieval—0
Learning Joint Embedding with Multimodal Cues for Cross-Modal Video-Text RetrievalCode0
Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models—0
Asymmetrically Weighted CCA And Hierarchical Kernel Sentence Embedding For Image & Text Retrieval—0
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