Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: FasterSeg: Searching for Faster Real-time Semantic Segmentation   We present FasterSeg, an automatically designed semantic segmentation network
with not only state-of-the-art performance but also faster speed than current
methods. Utilizing neural architecture search (NAS), FasterSeg is discovered
from a novel and broader search space integrating multi-resolution branches,
that has been recently found to be vital in manually designed segmentation
models. To better calibrate the balance between the goals of high accuracy and
low latency, we propose a decoupled and fine-grained latency regularization,
that effectively overcomes our observed phenomenons that the searched networks
are prone to "collapsing" to low-latency yet poor-accuracy models. Moreover, we
seamlessly extend FasterSeg to a new collaborative search (co-searching)
framework, simultaneously searching for a teacher and a student network in the
same single run. The teacher-student distillation further boosts the student
model's accuracy. Experiments on popular segmentation benchmarks demonstrate
the competency of FasterSeg. For example, FasterSeg can run over 30% faster
than the closest manually designed competitor on Cityscapes, while maintaining
comparable accuracy.

29
The categories of this paper are: funct-an
14
The categories of this paper are: math-ph
0
The categories of this paper are: hep-ph
26
The categories of this paper are: bayes-an
18
The categories of this paper are: econ
25
The categories of this paper are: patt-sol
12
The categories of this paper are: nucl-th
9
The categories of this paper are: nlin
17
The categories of this paper are: q-fin
2
The categories of this paper are: math
35
The categories of this paper are: mtrl-th
34
The categories of this paper are: chem-ph
37
The categories of this paper are: supr-con
28
The categories of this paper are: alg-geom
10
The categories of this paper are: q-bio
8
The categories of this paper are: hep-ex