1. DeepLab: semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs;Chen;IEEE Trans. Pattern Anal. Mach. Intell.,2017
2. Simple does it: weakly supervised instance and semantic segmentation;Khoreva,2017
3. Box2Seg: attention weighted loss and discriminative feature learning for weakly supervised segmentation;Kulharia,2020
4. BBAM: bounding box attribution map for weakly supervised semantic and instance segmentation;Lee,2021
5. Scribblesup: scribble-supervised convolutional networks for semantic segmentation;Lin,2016