Search Results for author: Haozhe Huang

Found 5 papers, 3 papers with code

Global and Local Contrastive Self-Supervised Learning for Semantic Segmentation of HR Remote Sensing Images

1 code implementation20 Jun 2021 Haifeng Li, Yi Li, Guo Zhang, Ruoyun Liu, Haozhe Huang, Qing Zhu, Chao Tao

Supervised learning for semantic segmentation requires a large number of labeled samples, which is difficult to obtain in the field of remote sensing.

Contrastive Learning Self-Supervised Learning +1

RS-MetaNet: Deep meta metric learning for few-shot remote sensing scene classification

no code implementations28 Sep 2020 Haifeng Li, Zhenqi Cui, Zhiqing Zhu, Li Chen, Jiawei Zhu, Haozhe Huang, Chao Tao

On the one hand, RS-MetaNet raises the level of learning from the sample to the task by organizing training in a meta way, and it learns to learn a metric space that can well classify remote sensing scenes from a series of tasks.

General Classification Metric Learning +1

DAPnet: A Double Self-attention Convolutional Network for Point Cloud Semantic Labeling

1 code implementation18 Apr 2020 Li Chen, Zewei Xu, Yongjian Fu, Haozhe Huang, Shaowen Wang, Haifeng Li

The incorporation of the double self-attention module has an average of 7\% improvement on the pre-class accuracy.

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