Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Towards the Unseen: Iterative Text Recognition by Distilling from Errors   Visual text recognition is undoubtedly one of the most extensively researched
topics in computer vision. Great progress have been made to date, with the
latest models starting to focus on the more practical "in-the-wild" setting.
However, a salient problem still hinders practical deployment -- prior arts
mostly struggle with recognising unseen (or rarely seen) character sequences.
In this paper, we put forward a novel framework to specifically tackle this
"unseen" problem. Our framework is iterative in nature, in that it utilises
predicted knowledge of character sequences from a previous iteration, to
augment the main network in improving the next prediction. Key to our success
is a unique cross-modal variational autoencoder to act as a feedback module,
which is trained with the presence of textual error distribution data. This
module importantly translate a discrete predicted character space, to a
continuous affine transformation parameter space used to condition the visual
feature map at next iteration. Experiments on common datasets have shown
competitive performance over state-of-the-arts under the conventional setting.
Most importantly, under the new disjoint setup where train-test labels are
mutually exclusive, ours offers the best performance thus showcasing the
capability of generalising onto unseen words.

7
The categories of this paper are: hep-th
35
The categories of this paper are: mtrl-th
9
The categories of this paper are: nlin
18
The categories of this paper are: econ
6
The categories of this paper are: astro-ph
28
The categories of this paper are: alg-geom
29
The categories of this paper are: funct-an
13
The categories of this paper are: quant-ph
4
The categories of this paper are: cond-mat
0
The categories of this paper are: hep-ph
23
The categories of this paper are: solv-int
8
The categories of this paper are: hep-ex
31
The categories of this paper are: ao-sci
15
The categories of this paper are: nucl-ex
14
The categories of this paper are: math-ph
5
The categories of this paper are: gr-qc