The standard train/test split contains strong semantic clustering and substantial similarity between training and test images within the same MS COCO categories. This can inflate apparent reconstruction performance (see Shirakawa et al., 2025). For reconstruction studies it is advisable to create alternative splits where test stimuli contain categories not present during training, or where semantic and visual overlap between training and test images is minimized.
* 核心思路：单调递增栈 + 控制删除位数（k0），优先移除高位大数，保证剩余数字最小
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