Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Perceptron Synthesis Network: Rethinking the Action Scale Variances in
  Videos   Video action recognition has been partially addressed by the CNNs stacking of
fixed-size 3D kernels. However, these methods may under-perform for only
capturing rigid spatial-temporal patterns in single-scale spaces, while
neglecting the scale variances across different action primitives. To overcome
this limitation, we propose to learn the optimal-scale kernels from the data.
More specifically, an \textit{action perceptron synthesizer} is proposed to
generate the kernels from a bag of fixed-size kernels that are interacted by
dense routing paths. To guarantee the interaction richness and the information
capacity of the paths, we design the novel \textit{optimized feature fusion
layer}. This layer establishes a principled universal paradigm that suffices to
cover most of the current feature fusion techniques (e.g., channel shuffling,
and channel dropout) for the first time. By inserting the \textit{synthesizer},
our method can easily adapt the traditional 2D CNNs to the video understanding
tasks such as action recognition with marginal additional computation cost. The
proposed method is thoroughly evaluated over several challenging datasets
(i.e., Somehting-to-Somthing, Kinetics and Diving48) that highly require
temporal reasoning or appearance discriminating, achieving new state-of-the-art
results. Particularly, our low-resolution model outperforms the recent strong
baseline methods, i.e., TSM and GST, with less than 30\% of their computation
cost.

8
The categories of this paper are: hep-ex
14
The categories of this paper are: math-ph
25
The categories of this paper are: patt-sol
11
The categories of this paper are: hep-lat
24
The categories of this paper are: dg-ga
15
The categories of this paper are: nucl-ex
10
The categories of this paper are: q-bio
23
The categories of this paper are: solv-int
13
The categories of this paper are: quant-ph
32
The categories of this paper are: atom-ph
34
The categories of this paper are: chem-ph
35
The categories of this paper are: mtrl-th
12
The categories of this paper are: nucl-th
9
The categories of this paper are: nlin
3
The categories of this paper are: physics
26
The categories of this paper are: bayes-an