Kaibing Yang

Assignment-Driven Hash Learning in a Hyper-Semantic Space for On-the-Fly Category Discovery

On-the-fly Category Discovery (OCD) aims to dynamically identify both known and emerging unknown categories from streaming data, using supervision from only a limited set of labeled classes. Despite recent progress, our empirical analysis reveals fundamental limitations: existing methods suffer from