Image segmentation is the task of segmenting the pixels in an image into a set of object categories. Image segmentation models are typically trained and evaluated on the PASCAL VOC segmentation dataset.
This network employs atrous convolution filters with multiple atrous rates to capture multi-scale context and obtains a mean Intersection over Union (mIOU) of 85.7% on the PASCAL VOC 2012 dataset.