Improving Cross-Modal Recipe Embeddings with Cross Decoder
Author:
Affiliation:
1. The University of Electro-Communications, Japan
Funder
JSPS KAKENHI Grant Numbers
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3643488.3660303
Reference11 articles.
1. Mustafa Shukor Nicolas Thome Matthieu Cord. 2023. Vision and Structured-Language Pretraining for Cross-Modal Food Retrieval. In arXiv:2212.04267v2.
2. Ricardo Guerrero 2021. Cross-modal Retrieval and Synthesis (X-MRS): Closing the modality gap in shared representation learning. In ACMMM.
3. Junnan Li 2021. Align before Fuse: Vision and Language Representation Learning with Momentum Distillation. In NIPS.
4. Alec Radford 2021. Learning Transferable Visual Models From Natural Language Supervision. In ICML.
5. Amaia Salvador 2017. Learning Cross-Modal Embeddings for Cooking Recipes and Food Images. In CVPR.
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