Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Similarity-Aware Fusion Network for 3D Semantic Segmentation   In this paper, we propose a similarity-aware fusion network (SAFNet) to
adaptively fuse 2D images and 3D point clouds for 3D semantic segmentation.
Existing fusion-based methods achieve remarkable performances by integrating
information from multiple modalities. However, they heavily rely on the
correspondence between 2D pixels and 3D points by projection and can only
perform the information fusion in a fixed manner, and thus their performances
cannot be easily migrated to a more realistic scenario where the collected data
often lack strict pair-wise features for prediction. To address this, we employ
a late fusion strategy where we first learn the geometric and contextual
similarities between the input and back-projected (from 2D pixels) point clouds
and utilize them to guide the fusion of two modalities to further exploit
complementary information. Specifically, we employ a geometric similarity
module (GSM) to directly compare the spatial coordinate distributions of
pair-wise 3D neighborhoods, and a contextual similarity module (CSM) to
aggregate and compare spatial contextual information of corresponding central
points. The two proposed modules can effectively measure how much image
features can help predictions, enabling the network to adaptively adjust the
contributions of two modalities to the final prediction of each point.
Experimental results on the ScanNetV2 benchmark demonstrate that SAFNet
significantly outperforms existing state-of-the-art fusion-based approaches
across various data integrity.

3
The categories of this paper are: physics
10
The categories of this paper are: q-bio
32
The categories of this paper are: atom-ph
35
The categories of this paper are: mtrl-th
37
The categories of this paper are: supr-con
22
The categories of this paper are: chao-dyn
34
The categories of this paper are: chem-ph
12
The categories of this paper are: nucl-th
8
The categories of this paper are: hep-ex
17
The categories of this paper are: q-fin
4
The categories of this paper are: cond-mat
31
The categories of this paper are: ao-sci
20
The categories of this paper are: acc-phys
16
The categories of this paper are: stat
26
The categories of this paper are: bayes-an
14
The categories of this paper are: math-ph