Weakly Supervised Semantic Segmentation

The task of weakly supervised semantic segmentation aims to classify each pixel in an image using relatively easy-to-obtain image annotations, such as object labels, instead of costly pixel-level annotations. By reducing the reliance on large amounts of fine-grained annotated data, this task significantly lowers the cost and complexity of training models, thereby holding important application value in the field of computer vision.