Cuiling Lan

Uncertainty-Aware Few-Shot Image Classification

2020 · arXiv (Cornell University)

Few-shot image classification learns to recognize new categories from limited labelled data. Metric learning based approaches have been widely investigated, where a query sample is classified by finding the nearest prototype from the support set …

WEDGE: Web-Image Assisted Domain Generalization for Semantic Segmentation

2021 · arXiv (Cornell University)

Domain generalization for semantic segmentation is highly demanded in real applications, where a trained model is expected to work well in previously unseen domains. One challenge lies in the lack of data which could cover …