68 citations · 105 across the 19 of their papers we have counts for
4 papers · 1 filter
Leveraging GAN Priors for Few-Shot Part Segmentation
Mengya Han, Heliang Zheng, Chaoyue Wang +3
Few-shot part segmentation aims to separate different parts of an object given only a few annotated samples. Due to the challenge of limited data, existing works mainly focus on le…
Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Learning
Zhiwei Hao, Guanyu Xu, Yong Luo +3
Recently, deploying deep neural network (DNN) models via collaborative inference, which splits a pre-trained model into two parts and executes them on user equipment (UE) and edge…
CLNode: Curriculum Learning for Node Classification
Xiaowen Wei, Xiuwen Gong, Yibing Zhan +3
Node classification is a fundamental graph-based task that aims to predict the classes of unlabeled nodes, for which Graph Neural Networks (GNNs) are the state-of-the-art methods.…
CDFKD-MFS: Collaborative Data-free Knowledge Distillation via Multi-level Feature Sharing
Zhiwei Hao, Yong Luo, Zhi Wang +2
Recently, the compression and deployment of powerful deep neural networks (DNNs) on resource-limited edge devices to provide intelligent services have become attractive tasks. Alth…