Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Reinforced active learning for image segmentation   Learning-based approaches for semantic segmentation have two inherent
challenges. First, acquiring pixel-wise labels is expensive and time-consuming.
Second, realistic segmentation datasets are highly unbalanced: some categories
are much more abundant than others, biasing the performance to the most
represented ones. In this paper, we are interested in focusing human labelling
effort on a small subset of a larger pool of data, minimizing this effort while
maximizing performance of a segmentation model on a hold-out set. We present a
new active learning strategy for semantic segmentation based on deep
reinforcement learning (RL). An agent learns a policy to select a subset of
small informative image regions -- opposed to entire images -- to be labeled,
from a pool of unlabeled data. The region selection decision is made based on
predictions and uncertainties of the segmentation model being trained. Our
method proposes a new modification of the deep Q-network (DQN) formulation for
active learning, adapting it to the large-scale nature of semantic segmentation
problems. We test the proof of concept in CamVid and provide results in the
large-scale dataset Cityscapes. On Cityscapes, our deep RL region-based DQN
approach requires roughly 30% less additional labeled data than our most
competitive baseline to reach the same performance. Moreover, we find that our
method asks for more labels of under-represented categories compared to the
baselines, improving their performance and helping to mitigate class imbalance.

24
The categories of this paper are: dg-ga
11
The categories of this paper are: hep-lat
31
The categories of this paper are: ao-sci
30
The categories of this paper are: q-alg
9
The categories of this paper are: nlin
3
The categories of this paper are: physics
23
The categories of this paper are: solv-int
8
The categories of this paper are: hep-ex
6
The categories of this paper are: astro-ph
34
The categories of this paper are: chem-ph
17
The categories of this paper are: q-fin
32
The categories of this paper are: atom-ph
19
The categories of this paper are: eess
22
The categories of this paper are: chao-dyn
25
The categories of this paper are: patt-sol
37
The categories of this paper are: supr-con