Questions tagged [zero-shot-learning]

For questions related to zero-shot learning, where training and test classes are disjoint. This problem can be tackled by solving related sub-problems, e.g. learning intermediate attribute classifiers.

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What is the difference between fine tuning and variants of few shot learning? [duplicate]

I am trying to understand the concept of fine-tuning and few-shot learning. I understand the need for fine-tuning. It is essentially tuning a pre-trained model to a specific downstream task. However, ...
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What is meant by "Zero-Shot Visual Recognition"?

Many recent research papers contain the phrase "Zero-Shot Visual Recognition". What exactly is meant by zero-shot visual recognition? Does the task need only images or also the other data ...
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classification of unseen classes of image in open set classification

I have a scanned image, and they need to be classified in one of the pre-defined image classes, so that it can be sorted. However, the problem is the open nature of the classes. At testing time, new ...
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Zero shot learning available labels in testing set

As we all know, zero shot learning involves a model predicting classes that it has not seen. But we are given all the attributes each class might have. Is it fair to assume that we are "aware&...
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