Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Hybrid Model for Combining Neural Image Caption and k-Nearest Neighbor
  Approach for Image Captioning   A hybrid model is proposed that integrates two popular image captioning
methods to generate a text-based summary describing the contents of the image.
The two image captioning models are the Neural Image Caption (NIC) and the
k-nearest neighbor approach. These are trained individually on the training
set. We extract a set of five features, from the validation set, for evaluating
the results of the two models that in turn is used to train a logistic
regression classifier. The BLEU-4 scores of the two models are compared for
generating the binary-value ground truth for the logistic regression
classifier. For the test set, the input images are first passed separately
through the two models to generate the individual captions. The
five-dimensional feature set extracted from the two models is passed to the
logistic regression classifier to take a decision regarding the final caption
generated which is the best of two captions generated by the models. Our
implementation of the k-nearest neighbor model achieves a BLEU-4 score of 15.95
and the NIC model achieves a BLEU-4 score of 16.01, on the benchmark Flickr8k
dataset. The proposed hybrid model is able to achieve a BLEU-4 score of 18.20
proving the validity of our approach.

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The categories of this paper are: comp-gas
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The categories of this paper are: solv-int
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The categories of this paper are: hep-ph
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The categories of this paper are: acc-phys
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The categories of this paper are: nucl-th
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The categories of this paper are: q-bio
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The categories of this paper are: eess
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The categories of this paper are: nucl-ex
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The categories of this paper are: hep-lat
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The categories of this paper are: q-alg
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The categories of this paper are: ao-sci
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The categories of this paper are: funct-an
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The categories of this paper are: astro-ph
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The categories of this paper are: mtrl-th
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The categories of this paper are: nlin
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The categories of this paper are: math