Search Results for author: Duo Peng

Found 3 papers, 1 papers with code

Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation

no code implementations5 Aug 2021 Duo Peng, Yinjie Lei, Lingqiao Liu, Pingping Zhang, Jun Liu

In this work, we propose two simple yet effective texture randomization mechanisms, Global Texture Randomization (GTR) and Local Texture Randomization (LTR), for Domain Generalization based SRSS.

Domain Generalization Semantic Segmentation

Hierarchical Paired Channel Fusion Network for Street Scene Change Detection

no code implementations19 Oct 2020 Yinjie Lei, Duo Peng, Pingping Zhang, Qiuhong Ke, Haifeng Li

Based on the MPFL strategy, our framework achieves a novel approach to adapt to the scale and location diversities of the scene change regions.

Scene Change Detection

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