Comments (3)
Hi,
Thank you so much your interest to our work.
What is the model of your graphics card? If the current memory usage is too high, you can lower the batch size to run the code. According to our previous experiments, this will not affect the final accuracy too much.
Best,
from mambacd.
Okay, I understand, thank you. Additionally, the graphics card model I'm using is the NVIDIA RTX A6000.
from mambacd.
I'm using is the NVIDIA RTX A6000
Then I'm pretty sure you can run our method 😂 try lowering the batch size.
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Related Issues (20)
- MambaSCD eval is NAN HOT 3
- FileNotFoundError: No such file: '/media/hhy/Ventoy/xbd/train/images/hurricane-florence_00000263_pre_disaster_pre_disaster.png.png' HOT 2
- MambaBDA-Tiny on the [xBD] HOT 9
- Regarding the handling of semantic labels in semantic change detection tasks. HOT 2
- make_data_loader.py HOT 4
- 在SECOND数据集上训练MambaSCD出现的问题 HOT 3
- BCD加载预预训练权重与当前模型不匹配 HOT 2
- 在SYSU数据集上测验mambaBCD-精度不够 HOT 20
- loss=nan HOT 6
- MambaSCD训练时出现错误grad can be implicitly created only for scalar outputs HOT 5
- MambaBDA训练时候报错:IndexError: Dimension out of range (expected to be in range of [-1, 0], but got 1) HOT 6
- 语义变化检测second的权重能否提供一下?或者提供一下数据处理脚本,谢谢! HOT 3
- SiameseKPConv 和MambaCD对比 HOT 3
- SCD pretrained weights HOT 2
- something about "infer_Mamba.SCD.py" HOT 2
- batchsize和iters以及epoch问题 HOT 5
- cpu inference HOT 1
- validation dataset cropsize HOT 1
- model weights of BDA HOT 2
- 在SECOND数据集上的复现精度较低 HOT 1
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