Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Continuously Learning to Detect People on the Fly: A Bio-inspired Visual
  System for Drones   This paper demonstrates for the first time that a biologically-plausible
spiking neural network (SNN) equipped with Spike-Timing-Dependent Plasticity
(STDP) can continuously learn to detect walking people on the fly using
retina-inspired, event-based cameras. Our pipeline works as follows. First, a
short sequence of event data ($<2$ minutes), capturing a walking human by a
flying drone, is forwarded to a convolutional SNNSTDP system which also
receives teacher spiking signals from a readout (forming a semi-supervised
system). Then, STDP adaptation is stopped and the learned system is assessed on
testing sequences. We conduct several experiments to study the effect of key
parameters in our system and to compare it against conventionally-trained CNNs.
We show that our system reaches a higher peak $F_1$ score (+19%) compared to
CNNs with event-based camera frames, while enabling on-line adaptation.

30
The categories of this paper are: q-alg
21
The categories of this paper are: adap-org
15
The categories of this paper are: nucl-ex
11
The categories of this paper are: hep-lat
17
The categories of this paper are: q-fin
9
The categories of this paper are: nlin
27
The categories of this paper are: comp-gas
32
The categories of this paper are: atom-ph
24
The categories of this paper are: dg-ga
14
The categories of this paper are: math-ph
37
The categories of this paper are: supr-con
4
The categories of this paper are: cond-mat
19
The categories of this paper are: eess
0
The categories of this paper are: hep-ph
29
The categories of this paper are: funct-an
6
The categories of this paper are: astro-ph