9 citations · 16 across the 7 of their papers we have counts for
13 papers
Cross-Image Relational Knowledge Distillation for Semantic Segmentation
Chuanguang Yang, Helong Zhou, Zhulin An +3
Current Knowledge Distillation (KD) methods for semantic segmentation often guide the student to mimic the teacher's structured information generated from individual data samples.…
Lifelong Generative Learning via Knowledge Reconstruction
Libo Huang, Zhulin An, Xiang Zhi +1
Generative models often incur the catastrophic forgetting problem when they are used to sequentially learning multiple tasks, i.e., lifelong generative learning. Although there are…
A Channel-Aware Routing Protocol With Nearest Neighbor Regression For Underwater Sensor Networks
Boyu Diao, Chao Li, Qi Wang +2
The underwater acoustic channel is one of the most challenging communication channels. Due to periodical tidal and daily climatic variation, underwater noise is periodically fluctu…
GHFP: Gradually Hard Filter Pruning
Linhang Cai, Zhulin An, Yongjun Xu
Filter pruning is widely used to reduce the computation of deep learning, enabling the deployment of Deep Neural Networks (DNNs) in resource-limited devices. Conventional Hard Filt…
Softer Pruning, Incremental Regularization
Linhang Cai, Zhulin An, Chuanguang Yang +1
Network pruning is widely used to compress Deep Neural Networks (DNNs). The Soft Filter Pruning (SFP) method zeroizes the pruned filters during training while updating them in the…
Multi-view Contrastive Learning for Online Knowledge Distillation
Chuanguang Yang, Zhulin An, Yongjun Xu
Previous Online Knowledge Distillation (OKD) often carries out mutually exchanging probability distributions, but neglects the useful representational knowledge. We therefore propo…