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Image-text Retrieval

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Showing 226–248 of 248 papers

TitleStatusHype
Survey of Visual-Semantic Embedding Methods for Zero-Shot Image Retrieval—0
SwAMP: Swapped Assignment of Multi-Modal Pairs for Cross-Modal Retrieval—0
Switch-BERT: Learning to Model Multimodal Interactions by Switching Attention and Input—0
SyCoCa: Symmetrizing Contrastive Captioners with Attentive Masking for Multimodal Alignment—0
The style transformer with common knowledge optimization for image-text retrieval—0
TSVC:Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval—0
UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre-training—0
UFO: A UniFied TransfOrmer for Vision-Language Representation Learning—0
Understanding and Constructing Latent Modality Structures in Multi-modal Representation Learning—0
Unicoder-VL: A Universal Encoder for Vision and Language by Cross-modal Pre-training—0
Unified Multimodal Pre-training and Prompt-based Tuning for Vision-Language Understanding and Generation—0
Uni-Mlip: Unified Self-supervision for Medical Vision Language Pre-training—0
UNITER: Learning UNiversal Image-TExt Representations—0
UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain Adaptation—0
Variance-Aware Loss Scheduling for Multimodal Alignment in Low-Data Settings—0
ViLEM: Visual-Language Error Modeling for Image-Text Retrieval—0
VL-BEiT: Generative Vision-Language Pretraining—0
VLMAE: Vision-Language Masked Autoencoder—0
VL-Match: Enhancing Vision-Language Pretraining with Token-Level and Instance-Level Matching—0
Webly Supervised Joint Embedding for Cross-Modal Image-Text Retrieval—0
Webly Supervised Joint Embedding for Cross-Modal lmage-Text Retrieval—0
XGPT: Cross-modal Generative Pre-Training for Image Captioning—0
Toward Automatic Relevance Judgment using Vision--Language Models for Image--Text Retrieval Evaluation—0
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