Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: One-Shot learning based classification for segregation of plastic waste   The problem of segregating recyclable waste is fairly daunting for many
countries. This article presents an approach for image based classification of
plastic waste using one-shot learning techniques. The proposed approach
exploits discriminative features generated via the siamese and triplet loss
convolutional neural networks to help differentiate between 5 types of plastic
waste based on their resin codes. The approach achieves an accuracy of 99.74%
on the WaDaBa Database

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The categories of this paper are: eess
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The categories of this paper are: acc-phys
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The categories of this paper are: q-fin
2
The categories of this paper are: math
24
The categories of this paper are: dg-ga
21
The categories of this paper are: adap-org
10
The categories of this paper are: q-bio
29
The categories of this paper are: funct-an
9
The categories of this paper are: nlin
12
The categories of this paper are: nucl-th
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The categories of this paper are: cmp-lg
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The categories of this paper are: astro-ph
11
The categories of this paper are: hep-lat
13
The categories of this paper are: quant-ph
28
The categories of this paper are: alg-geom
15
The categories of this paper are: nucl-ex