Comments (3)
- see here https://github.com/Z-Zheng/ChangeStar/blob/master/module/changestar_bisup.py
- No, because there is no building label provided in LEVIR-CD. Maybe you can choose a small building segmentation dataset to try. But small dataset is difficult to guarantee the final performance under single-temporal supervision.
- Bitemporal model simplifies the temporal swap module and uses torch.cat + many convs, not only the torch.cat.
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THANKS BRO
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i use the bitemporal suprvised methods for Industrial application,but i found the operation torch.cat may lost some small changes(this change is so important) of information that don't have obvious semantic features. so ask third question, dont mind, thanks again.
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Related Issues (20)
- Can ChangeStar be used for general CD? HOT 3
- 可视化效果 HOT 4
- Questions about PCC series HOT 1
- Cant't download the xView2 dataset. HOT 1
- 有测试demo吗? HOT 3
- AssertionError error HOT 1
- Reproduction Problem HOT 1
- 关于使用ever库中的infer_tool工具 HOT 2
- How to get the bitemporal images' labels if the model is trained on LEVIR-CD dataset? HOT 2
- A question about PCC
- pretrained weights
- 预测
- ChangeMask: Deep multi-task encoder-transformer-decoder architecture for semantic change detection HOT 4
- Some questions about table 1 of the paper HOT 2
- How to get the label?
- 关于Spacenet2,想了解下您是怎么处理RGB锐化图像的
- RuntimeError: NCCL error in: /pytorch/torch/lib/c10d/ProcessGroupNCCL.cpp:911, unhandled system error, NCCL version 2.7.8 HOT 1
- LEVIR-CD structure HOT 2
- 训练结果为0 HOT 2
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