ملف الباحث
Chengzhi Mao
ورقتان في مجموعة PaperMetrix
المنشورات
أوراق هذا المؤلف
-
Deep self-organizing reservoir computing model for visual object recognition
2016
Reservoir computing becomes increasingly a hot spot in recent years. In this paper, we propose a deep self-organizing reservoir computing model for visual object recognition. First, through combination of Kohonen's self-organizing map and SHESN network, …
-
AdvSPADE: Realistic Unrestricted Attacks for Semantic Segmentation
2019 · arXiv (Cornell University)
Due to the inherent robustness of segmentation models, traditional norm-bounded attack methods show limited effect on such type of models. In this paper, we focus on generating unrestricted adversarial examples for semantic segmentation models. We …