Supplementary Material for " Augmentation-Free Dense Contrastive Knowledge Distillation for Efficient Semantic Segmentation " Chao Li Intel Labs China

A.1 Datasets We evaluate our Af-DCD method on five mainstream semantic segmentation datasets following standard training/validation/test splits. Cityscapes [1] is a dataset for real-world semantic urban scene understanding. It has 5,000 image samples with high quality pixel-level annotations and 20,000 image samples with coarse annotations collected from 50 different cities. In semantic segmentation, only samples with pixel-level annotations are used, which contain 2,975 training samples, 500 validation samples and 1,525 testing samples, with totally 19 classes. Pascal VOC [2] is a competition dataset, whose samples are collected from the flickr2 photo-sharing website.