Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: AutoHR: A Strong End-to-end Baseline for Remote Heart Rate Measurement
  with Neural Searching   Remote photoplethysmography (rPPG), which aims at measuring heart activities
without any contact, has great potential in many applications (e.g., remote
healthcare). Existing end-to-end rPPG and heart rate (HR) measurement methods
from facial videos are vulnerable to the less-constrained scenarios (e.g., with
head movement and bad illumination). In this letter, we explore the reason why
existing end-to-end networks perform poorly in challenging conditions and
establish a strong end-to-end baseline (AutoHR) for remote HR measurement with
neural architecture search (NAS). The proposed method includes three parts: 1)
a powerful searched backbone with novel Temporal Difference Convolution (TDC),
intending to capture intrinsic rPPG-aware clues between frames; 2) a hybrid
loss function considering constraints from both time and frequency domains; and
3) spatio-temporal data augmentation strategies for better representation
learning. Comprehensive experiments are performed on three benchmark datasets
to show our superior performance on both intra- and cross-dataset testing.

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The categories of this paper are: solv-int
27
The categories of this paper are: comp-gas
31
The categories of this paper are: ao-sci
33
The categories of this paper are: plasm-ph
5
The categories of this paper are: gr-qc
34
The categories of this paper are: chem-ph
11
The categories of this paper are: hep-lat
2
The categories of this paper are: math
19
The categories of this paper are: eess
32
The categories of this paper are: atom-ph
25
The categories of this paper are: patt-sol
8
The categories of this paper are: hep-ex
24
The categories of this paper are: dg-ga
37
The categories of this paper are: supr-con
35
The categories of this paper are: mtrl-th
0
The categories of this paper are: hep-ph