In this paper, we propose a multi-task learning approach for cross-modal image-text retrieval. First, a correlation network is proposed for relation ...
Cross-modal Image-Text Retrieval with Multitask Learning ; Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM ...
Nov 3, 2019 · In this paper, we propose a multi-task learning approach for cross- modal image-text retrieval. First, a correlation network is proposed for ...
In this paper, we propose a multi-task learning approach for cross-modal image-text retrieval. First, a correlation network is proposed for relation ...
In this work, we implement different cross-modal learning schemes such as Siamese Network, Correlational Network and Deep Cross-Modal Projection Learning model ...
Missing: Multitask | Show results with:Multitask
A cross-modal image and text retrieval method combining efficient feature extraction and interactive learning convolutional autoencoder (CAE) is proposed.
Oct 30, 2023 · We propose a Multi-teacher Cross-modality Alignment Distillation (MCAD) technique to integrate the advantages of single- and dual-stream models.
An innovative cross-modal retrieval method using Multi-Dimensional Feature Fusion Hashing (MDFFH) is proposed.
Missing: Multitask | Show results with:Multitask
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What is cross-modal retrieval?
What is the text to image retrieval model?
Cross-Modal Retrieval (CMR) is a task of retrieving items across different modalities, such as image, text, video, and audio.
Missing: Multitask | Show results with:Multitask
In this paper, we propose the Context-guided Cross-modal Correlation Learning (CCCL) framework for ITR under a novel paradigm: “Perceive, Reason, and Align”.