One by-product of weighing the candidates by their distance is that the resulting output image is prone to false contours or banding. Increasing reduces this effect at the cost of added granularity or high frequency noise due to the introduction of ever more distant colours to the set. I recommend taking a look at the original paper if you’re interested in learning a bit more about the algorithm[1].
The implications of sourcing-as-a-requirement are vast. What does backpropagation even look like if the weights have to be attributable, and the forward pass auditable? You won't be able to fit that in an int4, that's for sure.
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先是承认自己此前侵权过，但现在已经有了自己的形象，引得抖人们怜爱：“抖音把我判给了暴暴。”“没有暴暴，我都不知道什么是黄油小熊。”
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