2 citations · 8 across the 7 of their papers we have counts for
4 papers · 1 filter
Explicitly Increasing Input Information Density for Vision Transformers on Small Datasets
Xiangyu Chen, Ying Qin, Wenju Xu +3
Vision Transformers have attracted a lot of attention recently since the successful implementation of Vision Transformer (ViT) on vision tasks. With vision Transformers, specifical…
Accumulated Trivial Attention Matters in Vision Transformers on Small Datasets
Xiangyu Chen, Qinghao Hu, Kaidong Li +2
Vision Transformers has demonstrated competitive performance on computer vision tasks benefiting from their ability to capture long-range dependencies with multi-head self-attentio…
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit Gradients
Kaidong Li, Ziming Zhang, Cuncong Zhong +1
Deep neural networks for 3D point cloud classification, such as PointNet, have been demonstrated to be vulnerable to adversarial attacks. Current adversarial defenders often learn…
Dilated Continuous Random Field for Semantic Segmentation
Xi Mo, Xiangyu Chen, Cuncong Zhong +3
Mean field approximation methodology has laid the foundation of modern Continuous Random Field (CRF) based solutions for the refinement of semantic segmentation. In this paper, we…