For questions related to the concept of one-shot learning, i.e. learning from one (or maybe a few) training examples (rather than big datasets).
Questions tagged [one-shot-learning]
5 questions
13
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1 answer
What is the difference between one-shot learning, transfer learning and fine tuning?
Lately, there are lots of posts on one-shot learning. I tried to figure out what it is by reading some articles. To me, it looks like similar to transfer learning, in which we can use pre-trained model weights to create our own model. Fine-tuning…
Hiren Namera
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3
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1 answer
Precise description of one-shot learning
I am working on classifying the Omniglot dataset, and the different papers dealing with this topic describe the problem as one-shot learning (classification). I would like to nail down a precise description of what counts as one-shot learning.
It's…
farhanhubble
- 181
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2
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1 answer
How could Bayesian neural networks be used for transfer learning?
In transfer learning, we use big data from similar tasks to learn the parameters of a neural network, and then fine-tune the neural network on our own task that has little data available for it. Here, we can think of the transfer learning step as…
samsambakster
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2
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Is it ok to perform transfer learning with a base model for face recognition to perform one-shot learning for object classification?
I am trying to create a model that is using a one-shot learning approach for a classification task. We do this because we do not have a lot of data and it also seems like a good way to learn this approach (it is going to be a university project).…
Maciek Woźniak
- 141
- 4
1
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1 answer
Single-Shot Learning for Object Re-Identification
I am looking for a way to re-identify/classify/recognize x real life objects (x < 50) with a camera. Each object should be presented to the AI only once for learning and there's always only one of these objects in the query image. New objects should…
sonovice
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