Scaling Semantic Segmentation Beyond 1K Classes on a Single GPU

1 code implementation • ICCV 2021 • Shipra Jain, Danda Paudel Pani, Martin Danelljan, Luc van Gool

In this paper, we propose a novel training methodology to train and scale the existing semantic segmentation models for a large number of semantic classes without increasing the memory overhead.

Image Classification object-detection +3