Search Results for author:
Found 2 papers, 2 papers with code
Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations
For generating the pseudo labels, we first identify confident seed areas of object classes from attention maps of an image classification model, and propagate them to discover the entire instance areas with accurate boundaries.
Image Classification
Image-level Supervised Instance Segmentation
+2
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation
To alleviate this issue, we present a novel framework that generates segmentation labels of images given their image-level class labels.
