Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Few-shot Open-set Recognition by Transformation Consistency   In this paper, we attack a few-shot open-set recognition (FSOSR) problem,
which is a combination of few-shot learning (FSL) and open-set recognition
(OSR). It aims to quickly adapt a model to a given small set of labeled samples
while rejecting unseen class samples. Since OSR requires rich data and FSL
considers closed-set classification, existing OSR and FSL methods show poor
performances in solving FSOSR problems. The previous FSOSR method follows the
pseudo-unseen class sample-based methods, which collect pseudo-unseen samples
from the other dataset or synthesize samples to model unseen class
representations. However, this approach is heavily dependent on the composition
of the pseudo samples. In this paper, we propose a novel unknown class sample
detector, named SnaTCHer, that does not require pseudo-unseen samples. Based on
the transformation consistency, our method measures the difference between the
transformed prototypes and a modified prototype set. The modified set is
composed by replacing a query feature and its predicted class prototype.
SnaTCHer rejects samples with large differences to the transformed prototypes.
Our method alters the unseen class distribution estimation problem to a
relative feature transformation problem, independent of pseudo-unseen class
samples. We investigate our SnaTCHer with various prototype transformation
methods and observe that our method consistently improves unseen class sample
detection performance without closed-set classification reduction.

23
The categories of this paper are: solv-int
15
The categories of this paper are: nucl-ex
17
The categories of this paper are: q-fin
30
The categories of this paper are: q-alg
31
The categories of this paper are: ao-sci
33
The categories of this paper are: plasm-ph
10
The categories of this paper are: q-bio
20
The categories of this paper are: acc-phys
18
The categories of this paper are: econ
16
The categories of this paper are: stat
22
The categories of this paper are: chao-dyn
32
The categories of this paper are: atom-ph
0
The categories of this paper are: hep-ph
3
The categories of this paper are: physics
14
The categories of this paper are: math-ph
26
The categories of this paper are: bayes-an