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 * Change Detection:
     * **ChangeFormer**: "A Transformer-Based Siamese Network for Change Detection", arXiv, 2022 (*JHU*). [[Paper](https://arxiv.org/abs/2201.01293)][[PyTorch](https://github.com/wgcban/ChangeFormer)]
     * **IDET**: "IDET: Iterative Difference-Enhanced Transformers for High-Quality Change Detection", arXiv, 2022 (*Civil Aviation University of China*). [[Paper](https://arxiv.org/abs/2207.09240)]
+    * **ScratchFormer**: "Remote Sensing Change Detection with Transformers Trained from Scratch", Arxiv, 2023 (*MBZUAI*). [[Paper](https://arxiv.org/pdf/2304.06710.pdf)][[PyTorch](https://github.com/mustansarfiaz/ScratchFormer)]
 * Edge Detection:
     * **EDTER**: "EDTER: Edge Detection with Transformer", CVPR, 2022 (*Beijing Jiaotong University*). [[Paper](https://arxiv.org/abs/2203.08566)][[Code (in construction)](https://github.com/MengyangPu/EDTER)]
     * **HEAT**: "HEAT: Holistic Edge Attention Transformer for Structured Reconstruction", CVPR, 2022 (*Simon Fraser*). [[Paper](https://arxiv.org/abs/2111.15143)][[PyTorch](https://github.com/woodfrog/heat)][[Website](https://heat-structured-reconstruction.github.io/)]