He and his colleagues presented 20 very difficult image pairs to human experts, and a range of algorithms.

他和同事给人类专家和一系列算法提出了20个极为难识别的图像对。

In this image pair, you can see this drastic difference that shows how prominent this effect is in the visual appearance of hair.

在这组对比图片中，你能看得出来这个效果用在头发的外观上有多么巨大的不同。

It is meant to do well with input image pairs that may look completely different visually, but have some semantic components that are similar.

它在那些外表看起来可能完全不同、但有一些相似语义成分的一组输入图像上实现得很好。

Another 30 minutes later, the students were tested on their memory of the pairings, by looking at faces and describing the paired aversive image.

又过了 30 分钟，学生们通过观察面孔和描述配对的厌恶图像来测试他们对配对的记忆。

The neural network is trained on hundreds of millions of images paired with captions and can translate virtually any text prompt into a relevant image, even seemingly random prompts.

神经网络对数亿张配上字幕的图像进行了训练，可以将几乎任何文本提示翻译成相关的图像，甚至是看似随机的提示。

Since we have a neural network over here, it goes without saying that the training takes place on a large number of before-after image pairs, so that the network is able to produce these convolution kernels.

既然我们这里有了神经网络，这个训练理所当然地发生于大量的前后相邻的像对中，因此这个网络能够制成这些卷积核心程序。