Attention-Based Multi-Context Guiding for Few-Shot Semantic Segmentation

no code implementations • Proceedings of the AAAI Conference on Artificial Intelligence 2019 • Tao Hu, Pengwan Yang, Chiliang Zhang, Gang Yu, Yadong Mu, Cees G. M. Snoek

Few-shot learning is a nascent research topic, motivated by the fact that traditional deep learning methods require tremen- dous amounts of data.

Few-Shot Semantic Segmentation One-Shot Learning +1

Detecting Adversarial Perturbations with Saliency

no code implementations • 23 Mar 2018 • Chiliang Zhang, Zhimou Yang, Zuochang Ye

In this paper we propose a novel method for detecting adversarial examples by training a binary classifier with both origin data and saliency data.

Classification General Classification +1