Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Sequence Level Semantics Aggregation for Video Object Detection   Video objection detection (VID) has been a rising research direction in
recent years. A central issue of VID is the appearance degradation of video
frames caused by fast motion. This problem is essentially ill-posed for a
single frame. Therefore, aggregating features from other frames becomes a
natural choice. Existing methods rely heavily on optical flow or recurrent
neural networks for feature aggregation. However, these methods emphasize more
on the temporally nearby frames. In this work, we argue that aggregating
features in the full-sequence level will lead to more discriminative and robust
features for video object detection. To achieve this goal, we devise a novel
Sequence Level Semantics Aggregation (SELSA) module. We further demonstrate the
close relationship between the proposed method and the classic spectral
clustering method, providing a novel view for understanding the VID problem. We
test the proposed method on the ImageNet VID and the EPIC KITCHENS dataset and
achieve new state-of-the-art results. Our method does not need complicated
postprocessing methods such as Seq-NMS or Tubelet rescoring, which keeps the
pipeline simple and clean.

27
The categories of this paper are: comp-gas
28
The categories of this paper are: alg-geom
2
The categories of this paper are: math
29
The categories of this paper are: funct-an
18
The categories of this paper are: econ
6
The categories of this paper are: astro-ph
11
The categories of this paper are: hep-lat
26
The categories of this paper are: bayes-an
32
The categories of this paper are: atom-ph
34
The categories of this paper are: chem-ph
30
The categories of this paper are: q-alg
5
The categories of this paper are: gr-qc
24
The categories of this paper are: dg-ga
0
The categories of this paper are: hep-ph
25
The categories of this paper are: patt-sol
33
The categories of this paper are: plasm-ph