Lixiang Ru

afa. [CVPR 2022] Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers

ToCo. [CVPR 2023] Token Contrast for Weakly-Supervised Semantic Segmentation

DSFANet. [TGRS 2019] Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images

ChangeDetectionPCAKmeans. MATLAB implementation for Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and k-Means Clustering.

CorrFusionNet. [TIP 2021] Multi-Temporal Scene Classification and Scene Change Detection with Correlation based Fusion

segformer-pytorch. A re-implementation of SegFormer. See the official repo at https://github.com/NVlabs/SegFormer.

vwe. [IJCAI 2021 & IJCV 2022] Learning Visual Words for Weakly-Supervised Semantic Segmentation

deeplab-pytorch. Pytorch implementation of DeepLabV1-LargeFOV, DeepLabV2-ResNet101, DeepLabV3, and DeepLabV3+. In progress...

MtS-WH-Dataset. Multi-temporal Scene dataset for Scene Change Detection.