Row 13003

Row ID: 13003 | Dataset Entry | Axioma AXP Content Repository

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I understand what you mean but if the model trained to take a LR image and to make from it HR image so why it cares about the upsample? Basically the model works like reconstructor, isn't it?

FieldValue
text I understand what you mean but if the model trained to take a LR image and to make from it HR image so why it cares about the upsample? Basically the model works like reconstructor, isn't it?
label r/deeplearning
dataType comment
communityName r/deeplearning
datetime 2024-05-20
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url_encoded Z0FBQUFBQm5Lak9LazdsalNKSGZUTkZqdGhibUtweWlkMlAyZHZMNFdjN2xreGN1NU5MSHFYMWNNVGJkQ3Rjc2JJMk5xVTRzNG9xNHg0d1UtcGJmNzE4U3JFY1BLMXZNemhRTVpubHA3ZEIyVHBYTTlpVDFCbHJlcjU4X2xtYU5fX0E5bjUxWG1ySjhjWmxaMEFLYmN4aVVXa2ZUSnVkdzdlMkNJcEFJZ1VpOXkteUVQOERoTjRhQjFacmNWTzlpT0tUTENQRGtNcGk2

Raw Record

{
  "text": "I understand what you mean but if the model trained to take a LR image and to make from it HR image so why it cares about the upsample? Basically the model works like reconstructor, isn't it?",
  "label": "r/deeplearning",
  "dataType": "comment",
  "communityName": "r/deeplearning",
  "datetime": "2024-05-20",
  "username_encoded": "Z0FBQUFBQm5Lakw3eHhzczFBcTdVUmRnb0luazBnNC00N2J3Z2hZZTMxdUVPcG9Ta2Z5aC1LVWZ2Nm9aQ0oxTDhFQXV5QmJiRlVCdWRDRWJfR3I2SHVEM1JYQ0RsaC1fTmh6WDE4MlJLXzVJeWUzSkJSSlQzT1U9",
  "url_encoded": "Z0FBQUFBQm5Lak9LazdsalNKSGZUTkZqdGhibUtweWlkMlAyZHZMNFdjN2xreGN1NU5MSHFYMWNNVGJkQ3Rjc2JJMk5xVTRzNG9xNHg0d1UtcGJmNzE4U3JFY1BLMXZNemhRTVpubHA3ZEIyVHBYTTlpVDFCbHJlcjU4X2xtYU5fX0E5bjUxWG1ySjhjWmxaMEFLYmN4aVVXa2ZUSnVkdzdlMkNJcEFJZ1VpOXkteUVQOERoTjRhQjFacmNWTzlpT0tUTENQRGtNcGk2"
}
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