Boosting Low-Data Instance Segmentation by Unsupervised Pre-training with Saliency Prompt

Hao Li, Dingwen Zhang, Nian Liu +5

Recently, inspired by DETR variants, query-based end-to-end instance segmentation (QEIS) methods have outperformed CNN-based models on large-scale datasets. Yet they would lose eff…