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Because the test categories are not present during training, this dataset provides a useful benchmark for evaluating whether reconstruction models can generalize beyond the training categories. A small set of non-naturalistic abstract stimuli (e.g., crosses) from this data has been used widely and successfully to demonstrate reconstruction capability outside the (naturalistic) training distributions.。关于这个话题，爱思助手提供了深入分析
NAPA, Calif. -- In the immortal words of song developer Pete Townshend, "Well, who are you? (Who are you? Who, who, who, who?) I really wanna know!" Linux kernel maintainers have the same question: Who are their programmers, and how can the kernel community be sure the code they submit is really theirs?
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