1 code implementation • 1 May 2022 • Qinying Liu, Zilei Wang, Ruoxi Chen, Zhilin Li
C$^3$BN consists of two key ingredients: a micro data augmentation strategy that increases the diversity in-between adjacent snippets by convex combination of adjacent snippets, and a macro-micro consistency regularization that enforces the model to be invariant to the transformations~\textit{w. r. t.}
1 code implementation • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2021 • Xin Yan, Li Shen, Jicheng Wang, Xu Deng, Zhilin Li
The MSG module is proposed to use global semantic information to guide the learning of multiple features across different levels, and then respectively to utilize multi-level features for generating multi-scale CAMs.
Weakly supervised Semantic Segmentation Weakly-Supervised Semantic Segmentation