Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Exploring Event-driven Dynamic Context for Accident Scene Segmentation   The robustness of semantic segmentation on edge cases of traffic scene is a
vital factor for the safety of intelligent transportation. However, most of the
critical scenes of traffic accidents are extremely dynamic and previously
unseen, which seriously harm the performance of semantic segmentation methods.
In addition, the delay of the traditional camera during high-speed driving will
further reduce the contextual information in the time dimension. Therefore, we
propose to extract dynamic context from event-based data with a higher temporal
resolution to enhance static RGB images, even for those from traffic accidents
with motion blur, collisions, deformations, overturns, etc. Moreover, in order
to evaluate the segmentation performance in traffic accidents, we provide a
pixel-wise annotated accident dataset, namely DADA-seg, which contains a
variety of critical scenarios from traffic accidents. Our experiments indicate
that event-based data can provide complementary information to stabilize
semantic segmentation under adverse conditions by preserving fine-grained
motion of fast-moving foreground (crash objects) in accidents. Our approach
achieves +8.2% performance gain on the proposed accident dataset, exceeding
more than 20 state-of-the-art semantic segmentation methods. The proposal has
been demonstrated to be consistently effective for models learned on multiple
source databases including Cityscapes, KITTI-360, BDD, and ApolloScape.

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The categories of this paper are: chao-dyn
16
The categories of this paper are: stat
27
The categories of this paper are: comp-gas
20
The categories of this paper are: acc-phys
13
The categories of this paper are: quant-ph
14
The categories of this paper are: math-ph
9
The categories of this paper are: nlin
5
The categories of this paper are: gr-qc
33
The categories of this paper are: plasm-ph
7
The categories of this paper are: hep-th
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The categories of this paper are: eess
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The categories of this paper are: q-bio
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The categories of this paper are: chem-ph
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The categories of this paper are: dg-ga
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The categories of this paper are: supr-con
0
The categories of this paper are: hep-ph