Make an Omelette with Breaking Eggs: Zero-Shot Learning for Novel Attribute Synthesis
Published in Advances in Neural Information Processing Systems, 2022
Innovated techniques and developed a groundbreaking decompose-reassemble scheme for automating annotation of attribute labels in zero-shot classification datasets, and accomplished an 89.74% reduction in annotation costs while maintaining or improving performance of attribute labels for zero-shot classification datasets
Recommended citation: @inproceedings{li2022make, title={Make an Omelette with Breaking Eggs: Zero-Shot Learning for Novel Attribute Synthesis}, author={Li, Yu Hsuan and Chao, Tzu-Yin and Huang, Ching-Chun and Chen, Pin-Yu and Chiu, Wei-Chen}, booktitle={Advances in Neural Information Processing Systems}, year={2022} }
Paper Link | Slides Link | Project Page | Code