Weakly- and semi-supervised panoptic segmentation by Li, Q, Arnab, A, Torr, P

“…Moreover, we are able to segment both “thing” and “stuff” classes, and thus explain all the pixels in the image. …”

Holistic image understanding with deep learning and dense random fields by Zheng, S

“…<p>One aim of holistic image understanding is not only to recognise the things and stuff in images but also to localise where they are exactly. …”

Pixel-level scene understanding with deep structured models by Arnab, A

“…Moreover, unlike previous work, this approach can naturally segment "stuff" classes. This method also achieved state-of-the-art results at the time of publication. …”

Open world entity segmentation by Qi, L, Kuen, J, Wang, Y, Gu, J, Zhao, H, Torr, P, Lin, Z, Jia, J

“…<p>We introduce a new image segmentation task, called Entity Segmentation (ES), which aims to segment all visual entities (objects and stuffs) in an image without predicting their semantic labels. …”