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cs.CV2024
Make a Strong Teacher with Label Assistance: A Novel Knowledge Distillation Approach for Semantic Segmentation
Shoumeng Qiu, Jie Chen, Xinrun Li +3
In this paper, we introduce a novel knowledge distillation approach for the semantic segmentation task. Unlike previous methods that rely on power-trained teachers or other modalit…
cs.CV2024
Automated Label Unification for Multi-Dataset Semantic Segmentation with GNNs
Rong Ma, Jie Chen, Xiangyang Xue +1
Deep supervised models possess significant capability to assimilate extensive training data, thereby presenting an opportunity to enhance model performance through training on mult…