Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Dilated Continuous Random Field for Semantic Segmentation   Mean field approximation methodology has laid the foundation of modern
Continuous Random Field (CRF) based solutions for the refinement of semantic
segmentation. In this paper, we propose to relax the hard constraint of mean
field approximation - minimizing the energy term of each node from
probabilistic graphical model, by a global optimization with the proposed
dilated sparse convolution module (DSConv). In addition, adaptive global
average-pooling and adaptive global max-pooling are implemented as replacements
of fully connected layers. In order to integrate DSConv, we design an
end-to-end, time-efficient DilatedCRF pipeline. The unary energy term is
derived either from pre-softmax and post-softmax features, or the predicted
affordance map using a conventional classifier, making it easier to implement
DilatedCRF for varieties of classifiers. We also present superior experimental
results of proposed approach on the suction dataset comparing to other
CRF-based approaches.

13
The categories of this paper are: quant-ph
21
The categories of this paper are: adap-org
24
The categories of this paper are: dg-ga
27
The categories of this paper are: comp-gas
35
The categories of this paper are: mtrl-th
29
The categories of this paper are: funct-an
8
The categories of this paper are: hep-ex
14
The categories of this paper are: math-ph
37
The categories of this paper are: supr-con
0
The categories of this paper are: hep-ph
25
The categories of this paper are: patt-sol
7
The categories of this paper are: hep-th
20
The categories of this paper are: acc-phys
33
The categories of this paper are: plasm-ph
2
The categories of this paper are: math
30
The categories of this paper are: q-alg