Comments (4)
caiyuanhao1998
commented on July 19, 2024
训出来没有差异很大
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Sebastian970107
commented on July 19, 2024
ＫＡＩＳＴ数据集中每张图片大部分像素点是背景，文章中的指标是某一次随即裁剪的最优值吗
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caiyuanhao1998
commented on July 19, 2024
不是，你可以试试看跑一遍代码
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Sebastian970107
commented on July 19, 2024
嗯嗯看明白了，论文中”Following the schedule of TSA-Net [36], we adopt CAVE as the training set. 10 scenes from KAIST are selected for testing.” 这句话似乎有歧义，测试集应该是TSA_simu_data.
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Related Issues (20)
- 请问real训练过程为何掩码也进行随机裁剪 HOT 2
- 关于参数的疑问 HOT 3
- 数据集中RGB图像 HOT 2
- Question about the ADMM-Net HOT 2
- real-test.py HOT 3
- Real-architecture HOT 2
- Wrong paper links presented in README HOT 1
- 测试数据集转为RGB图像 HOT 1
- TwIST、GAP-TV、DeSCI的可视化结果 HOT 1
- 这里乘2是什么意思 HOT 1
- 训练MST方法之前所提出的模型时的问题。 HOT 11
- DAUHST的flops计算 HOT 1
- 关于test_s HOT 1
- 关于归一化问题 HOT 1
- 关于一个细节的问题 HOT 4
- 一轮训练时间 HOT 5
- mask_3d_shift和mask的关系 HOT 1
- 关于DAUHST在真实实验中训练和测试问题 HOT 1
- 您好，关于可视化部分 HOT 1
- 参数计算 HOT 1
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