Questions tagged [one-shot-learning]
The one-shot-learning tag has no usage guidance.
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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 ...
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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 ...
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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. ...
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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 ...
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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:
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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 ...
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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 ...
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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 ...
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SSD-300 tensorflow mAP is very low due to unstable loss
I am training my SSD-300 model for which I have resized images to 300x300. I am using the default settings as mentioned in github repo:
https://github.com/balancap/SSD-Tensorflow
The loss is unstable ...
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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 ...
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Should I normalise image pixel wise for pretrained VGG16 model
My goal is to use pretrained 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 ...
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