2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.RO2023★ 1 cited
Exploring Visual Pre-training for Robot Manipulation: Datasets, Models and Methods
Ya Jing, Xuelin Zhu, Xingbin Liu +4
Visual pre-training with large-scale real-world data has made great progress in recent years, showing great potential in robot learning with pixel observations. However, the recipe…
cs.CV2023★ 2 cited
Latent Feature Relation Consistency for Adversarial Robustness
Xingbin Liu, Huafeng Kuang, Hong Liu +3
Deep neural networks have been applied in many computer vision tasks and achieved state-of-the-art performance. However, misclassification will occur when DNN predicts adversarial…
cs.CV2023★ 1 cited
CAT:Collaborative Adversarial Training
Xingbin Liu, Huafeng Kuang, Xianming Lin +2
Adversarial training can improve the robustness of neural networks. Previous methods focus on a single adversarial training strategy and do not consider the model property trained…