3 citations · 3 across the 1 of their papers we have counts for
2 papers
cs.LG2021★ 3 cited
Masked Conditional Random Fields for Sequence Labeling
Tianwen Wei, Jianwei Qi, Shenghuan He +1
Conditional Random Field (CRF) based neural models are among the most performant methods for solving sequence labeling problems. Despite its great success, CRF has the shortcoming…
cs.CV2020
DEAL: Difficulty-aware Active Learning for Semantic Segmentation
Shuai Xie, Zunlei Feng, Ying Chen +3
Active learning aims to address the paucity of labeled data by finding the most informative samples. However, when applying to semantic segmentation, existing methods ignore the se…