Class Enhancement Losses with Pseudo Labels for Zero-shot Semantic Segmentation

Son Duy Dao, Hengcan Shi, Dinh Phung +1

Recent mask proposal models have significantly improved the performance of zero-shot semantic segmentation. However, the use of a `background' embedding during training in these me…