Augmentation-Free Dense Contrastive Knowledge Distillation for Efficient Semantic Segmentation

1 code implementation • 7 Dec 2023 • Jiawei Fan, Chao Li, Xiaolong Liu, Meina Song, Anbang Yao

In order to address this problem, we present Augmentation-free Dense Contrastive Knowledge Distillation (Af-DCD), a new contrastive distillation learning paradigm to train compact and accurate deep neural networks for semantic segmentation applications.

Contrastive Learning Data Augmentation +6