5 datasets found

This paper addresses fast semantic segmentation on video. The dataset used is Cityscapes and CamVid.

The dataset used in the paper is a collection of video data for object class semantic labeling.

CamVid dataset is a benchmark dataset for semantic segmentation. It consists of 700 images with 11 object classes.

State-of-the-art techniques in weakly-supervised semantic segmentation (WSSS) using image-level labels exhibit severe performance degradation on driving scene datasets such as...

The dataset used in the paper is a pre-trained ResNet-50 classifier, which is used for image synthesis, unpaired image-to-image translation, and feature similarity estimation.