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Indeed, we only condense to a single dataset while achieving the effects of multiple-sized datasets.
Regarding the results reported in Table. 1, we extract the corresponding dataset size. Take IPC=1 as an instance, we form a IPC-1 dataset by taking only the first image (the most "distorted" one) from each class. An illustration is given in the below figure:
Please feel free to ask if you have any other questions. ;)
您好,请问压缩数据的大小是固定的吗?
例如这行命令:python condense_reg.py --reproduce -d cifar10 -f 2 --ipc 10 --adaptive_reg True
代码似乎是只生成IPC10大小的压缩数据?文中的Table1中Dataset1-10是如何获得的,如何计算的呢?
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