Collaborative and Adversarial Learning of Focused and Dispersive Representations for Semi-Supervised Polyp Segmentation

no code implementations • ICCV 2021 • Huisi Wu, Guilian Chen, Zhenkun Wen, Jing Qin

In this paper, we present a novel semi-supervised polyp segmentation via collaborative and adversarial learning of focused and dispersive representations learning model, where focused and dispersive extraction module are used to deal with the diversity of location and shape of polyps.

Segmentation Semantic Segmentation