Akata, Zeynep Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society; External Organizations;
https://doi.org/10.1109/CVPR52688.2022.00910 (Publisher version)
https://doi.org/10.48550/arXiv.2203.10444 (Preprint)
https://openaccess.thecvf.com/content/CVPR2022/papers/Xu_VGSE_Visually-Grounded_Semantic_Embeddings_for_Zero-Shot_Learning_CVPR_2022_paper.pdf (Publisher version)
Xu, W., Xian, Y., Wang, J., Schiele, B., & Akata, Z. (2022). VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 9306-9315). Piscataway, NJ: IEEE. doi:10.1109/CVPR52688.2022.00910.
