Questions tagged [one-shot-learning]

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What is zero-shot vs one-short vs few-shot learning?

Are there any papers/research work that deals with generalizing the matrix of how the *-shot(s) learning are defined? There's a wide variety of papers that titled ...
alvas's user avatar
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Difference between Siamese Network and Prototypical Networks for One Shot Learning

I am having a bit of trouble understanding how the architecture of prototypical networks in a one shot learning use case differs from Siamese networks. If I’m understanding correctly, Siamese networks ...
charactercapital's user avatar
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How do I test one-shot model preformance against flawed categories?

I'm in the process of reworking the ASAM database. Excerpted, it looks like this: ...
hrokr's user avatar
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Should number of classes be the same in few shot learning train and test?

I used to believe in k-way-n-shot few-shot learning, k and n (number of classes and samples from each class respectively) must be the same in train and test phases. But now I come across a git ...
Marzi Heidari's user avatar
2 votes
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Few shot learning and object detector

I have a dataset with a lot of classes (~10000+) but few examples by classes (~15-). I want to classify these classes, but there are some specificities. My examples provide from a video stream. ...
NM007's user avatar
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Siamese Network for face comparison wont learn, accuracy stuck on 0.5, and loss stuck too

I'm trying to train a siamese network which contains a CNN and an embedding layer at the end to yield 2 similar (close) vectors for 2 images of the same person. I'm using the LFW_Cropped dataset, and ...
Jhon Margalit's user avatar
1 vote
1 answer
442 views

what does one Shot learning mean? do they only need one image to train for some new class detection?

Being new to deep learning I am somewhat struggling to grasp the idea of one shot learning. Let us say I have a class to detect which didn't exist in training dataset such as COCO or Image NET. Can I ...
Atlas Bravoos's user avatar
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1 answer
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Should I normalise image pixel wise for pretrained VGG16 model

My goal is to use pre-trained VGG16 to compute the feature vectors excluding the top layer. I want to compute embedding(no training involved) per image one by one rather than feeding batches to the ...
offset-null1's user avatar
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1 answer
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Why does Siamese neural networks use tied weights and how do they work?

Reading this paper on one-shot learning "Siamese Neural Networks for One-shot Image Recognition" I was introduced to the idea of Siamese Neural Networks. What I did not fully grasp was what they ...
Frank Weslien's user avatar
3 votes
4 answers
2k views

Siamese Network in Keras

I‘m looking for a minimal applied example for the implementation of a (one shot) Siamese Network, preferably in Keras. I‘m well aware of the various data science online pages and the respective ...
Peter's user avatar
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Binary Classification - One Hot Encoding preventing me using Test Set [duplicate]

I have a preprocessing pipeline that includes replacing missing values and onehotencoding for the categorical variables. When I try to use my model on the test set, it explains that the number of ...
Viraj Vaitha's user avatar
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Source to learn/understand one-shot learning

I'm currently looking into one-shot learning and I wonder if there are any good sources/tutorials out there, which demonstrate one-shot learning in a (more or less) "hands-on" way? Also some hints ...
Peter's user avatar
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