Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Bornon: Bengali Image Captioning with Transformer-based Deep learning
  approach   Image captioning using Encoder-Decoder based approach where CNN is used as
the Encoder and sequence generator like RNN as Decoder has proven to be very
effective. However, this method has a drawback that is sequence needs to be
processed in order. To overcome this drawback some researcher has utilized the
Transformer model to generate captions from images using English datasets.
However, none of them generated captions in Bengali using the transformer
model. As a result, we utilized three different Bengali datasets to generate
Bengali captions from images using the Transformer model. Additionally, we
compared the performance of the transformer-based model with a visual
attention-based Encoder-Decoder approach. Finally, we compared the result of
the transformer-based model with other models that employed different Bengali
image captioning datasets.

37
The categories of this paper are: supr-con
2
The categories of this paper are: math
8
The categories of this paper are: hep-ex
14
The categories of this paper are: math-ph
5
The categories of this paper are: gr-qc
16
The categories of this paper are: stat
21
The categories of this paper are: adap-org
32
The categories of this paper are: atom-ph
28
The categories of this paper are: alg-geom
23
The categories of this paper are: solv-int
24
The categories of this paper are: dg-ga
35
The categories of this paper are: mtrl-th
22
The categories of this paper are: chao-dyn
10
The categories of this paper are: q-bio
0
The categories of this paper are: hep-ph
30
The categories of this paper are: q-alg