1 code implementation • ICCV 2023 • Muhammad Gul Zain Ali Khan, Muhammad Ferjad Naeem, Luc van Gool, Didier Stricker, Federico Tombari, Muhammad Zeshan Afzal
While the model faces a disjoint set of classes in each task in this setting, we argue that these classes can be encoded to the same embedding space of a pre-trained language encoder.
no code implementations • CVPR 2023 • Muhammad Ferjad Naeem, Muhammad Gul Zain Ali Khan, Yongqin Xian, Muhammad Zeshan Afzal, Didier Stricker, Luc van Gool, Federico Tombari
Our proposed model, I2MVFormer, learns multi-view semantic embeddings for zero-shot image classification with these class views.
no code implementations • 20 Oct 2022 • Muhammad Gul Zain Ali Khan, Muhammad Ferjad Naeem, Luc van Gool, Alain Pagani, Didier Stricker, Muhammad Zeshan Afzal
CAPE learns to identify this structure and propagates knowledge between them to learn class embedding for all seen and unseen compositions.