4 papers
Learning Inner-Group Relations on Point Clouds
Haoxi Ran, Wei Zhuo, Jun Liu +1
The prevalence of relation networks in computer vision is in stark contrast to underexplored point-based methods. In this paper, we explore the possibilities of local relation oper…
Self-Supervised Graph Learning with Proximity-based Views and Channel Contrast
Wei Zhuo, Guang Tan
We consider graph representation learning in a self-supervised manner. Graph neural networks (GNNs) use neighborhood aggregation as a core component that results in feature smoothi…
Mining Latent Classes for Few-shot Segmentation
Lihe Yang, Wei Zhuo, Lei Qi +2
Few-shot segmentation (FSS) aims to segment unseen classes given only a few annotated samples. Existing methods suffer the problem of feature undermining, i.e. potential novel clas…
Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector
Qi Fan, Wei Zhuo, Chi-Keung Tang +1
Conventional methods for object detection typically require a substantial amount of training data and preparing such high-quality training data is very labor-intensive. In this pap…