SATS: Self-attention transfer for continual semantic segmentation
Continually learning to segment more and more types of image regions is a desired
capability for many intelligent systems. However, such continual semantic segmentation …
capability for many intelligent systems. However, such continual semantic segmentation …
DCFP: Distribution Calibrated Filter Pruning for Lightweight and Accurate Long-tail Semantic Segmentation
Recently, semantic segmentation has made promising progress, but the high cost of
processing still limits its application. With focusing on removing the parameters of the …
processing still limits its application. With focusing on removing the parameters of the …
Class-Aware Contextual Information for Semantic Segmentation
Exploring spatial contextual information is a well-adopted approach to achieving better
semantic segmentation performance. However, most existing methods neglect the class …
semantic segmentation performance. However, most existing methods neglect the class …