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Image-text Retrieval

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Showing 226–248 of 248 papers

TitleStatusHype
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
Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text RetrievalCode0
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
Probing Inter-modality: Visual Parsing with Self-Attention for Vision-Language Pre-training—0
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
Learning Multi-Modal Nonlinear Embeddings: Performance Bounds and an Algorithm—0
Context-Aware Attention Network for Image-Text Retrieval—0
XGPT: Cross-modal Generative Pre-Training for Image Captioning—0
MHSAN: Multi-Head Self-Attention Network for Visual Semantic EmbeddingCode0
UNITER: Learning UNiversal Image-TExt Representations—0
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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