Weakly-Supervised Image Semantic Segmentation Using Graph Convolutional Networks

1 code implementation • 31 Mar 2021 • Shun-Yi Pan, Cheng-You Lu, Shih-Po Lee, Wen-Hsiao Peng

One common approach to this task is to propagate the activation scores of Class Activation Maps (CAMs) using a random-walk mechanism in order to arrive at complete pseudo labels for training a semantic segmentation network in a fully-supervised manner.

Segmentation Weakly-Supervised Semantic Segmentation