Multi-source Pseudo-label Learning of Semantic Segmentation for the Scene Recognition of Agricultural Mobile Robots
This repo contains source code of our work on the pseudo-label learning of semantic segmentation of greenhouse scenes using multiple source datasets of urban scenes.
- Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation (arxiv, 2020)
- ESPNetv2 (CVPR'19)
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Part of our code is forked from EdgeNets.