97 citations · 97 across the 1 of their papers we have counts for
3 papers
cs.CV2022★ 97 cited
Spot-adaptive Knowledge Distillation
Jie Song, Ying Chen, Jingwen Ye +1
Knowledge distillation (KD) has become a well established paradigm for compressing deep neural networks. The typical way of conducting knowledge distillation is to train the studen…
cs.CV2021
KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation
Mengqi Xue, Jie Song, Xinchao Wang +3
Knowledge distillation (KD) has recently emerged as an efficacious scheme for learning compact deep neural networks (DNNs). Despite the promising results achieved, the rationale th…
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…