61 research outputs found
YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications
For years, the YOLO series has been the de facto industry-level standard for
efficient object detection. The YOLO community has prospered overwhelmingly to
enrich its use in a multitude of hardware platforms and abundant scenarios. In
this technical report, we strive to push its limits to the next level, stepping
forward with an unwavering mindset for industry application.
Considering the diverse requirements for speed and accuracy in the real
environment, we extensively examine the up-to-date object detection
advancements either from industry or academia. Specifically, we heavily
assimilate ideas from recent network design, training strategies, testing
techniques, quantization, and optimization methods. On top of this, we
integrate our thoughts and practice to build a suite of deployment-ready
networks at various scales to accommodate diversified use cases. With the
generous permission of YOLO authors, we name it YOLOv6. We also express our
warm welcome to users and contributors for further enhancement. For a glimpse
of performance, our YOLOv6-N hits 35.9% AP on the COCO dataset at a throughput
of 1234 FPS on an NVIDIA Tesla T4 GPU. YOLOv6-S strikes 43.5% AP at 495 FPS,
outperforming other mainstream detectors at the same scale~(YOLOv5-S, YOLOX-S,
and PPYOLOE-S). Our quantized version of YOLOv6-S even brings a new
state-of-the-art 43.3% AP at 869 FPS. Furthermore, YOLOv6-M/L also achieves
better accuracy performance (i.e., 49.5%/52.3%) than other detectors with a
similar inference speed. We carefully conducted experiments to validate the
effectiveness of each component. Our code is made available at
https://github.com/meituan/YOLOv6.Comment: technical repor
α-Synuclein, a chemoattractant, directs microglial migration via H 2 O 2 -dependent Lyn phosphorylation
α-Synuclein (α-syn) aggregates released from neurons activate microglia, leading to chronic neuroinflammation that causes damage to neurons in brains with synucleinopathies, such as Parkinson’s disease (PD). However, little is known about the mechanism by which α-syn affects microglial activity, especially motility, and why microglia migrate toward the injured neurons and preferentially accumulate along with α-syn aggregates in the affected areas, e.g., in the substantia nigra of PD brains. Here we show that neuron-derived α-syn aggregates are chemoattractants that direct microglial migration by acting on NADPH oxidase and several specific downstream proteins. Blocking the targets involved in α-syn–mediated microglial directional migration may represent a therapeutic strategy to protect against progressive neuronal loss in PD and related synucleinopathies
Insight-HXMT on-orbit thermal control status and thermal deformation impact analysis
Purpose: The Hard X-ray Modulation Telescope is China's first X-ray astronomy
satellite launched on June 15th, 2017, dubbed Insight-HXMT. Active and passive
thermal control measures are employed to keep devices at suitable temperatures.
In this paper, we analyzed the on-orbit thermal monitoring data of the first 5
years and investigated the effect of thermal deformation on the point spread
function (PSF) of the telescopes.
Methods: We examined the data of the on-orbit temperatures measured using 157
thermistors placed on the collimators, detectors and their support structures
and compared the results with the thermal control requirements. The thermal
deformation was evaluated by the relative orientation of the two star sensors
installed on the main support structure. its effect was estimated with
evolution of the PSF obtained with calibration scanning observations of the
Crab nebula.
Conclusion: The on-orbit temperatures met the thermal control requirements
thus far, and the effect of thermal deformation on the PSF was negligible after
the on-orbit pointing calibration.Comment: 25 pages, 35 figures, submitte
Insight-HXMT observations of Swift J0243.6+6124 during its 2017-2018 outburst
The recently discovered neutron star transient Swift J0243.6+6124 has been
monitored by {\it the Hard X-ray Modulation Telescope} ({\it Insight-\rm HXMT).
Based on the obtained data, we investigate the broadband spectrum of the source
throughout the outburst. We estimate the broadband flux of the source and
search for possible cyclotron line in the broadband spectrum. No evidence of
line-like features is, however, found up to . In the absence of
any cyclotron line in its energy spectrum, we estimate the magnetic field of
the source based on the observed spin evolution of the neutron star by applying
two accretion torque models. In both cases, we get consistent results with
, and peak luminosity of which makes the source the first Galactic ultraluminous
X-ray source hosting a neutron star.Comment: publishe
Overview to the Hard X-ray Modulation Telescope (Insight-HXMT) Satellite
As China's first X-ray astronomical satellite, the Hard X-ray Modulation
Telescope (HXMT), which was dubbed as Insight-HXMT after the launch on June 15,
2017, is a wide-band (1-250 keV) slat-collimator-based X-ray astronomy
satellite with the capability of all-sky monitoring in 0.2-3 MeV. It was
designed to perform pointing, scanning and gamma-ray burst (GRB) observations
and, based on the Direct Demodulation Method (DDM), the image of the scanned
sky region can be reconstructed. Here we give an overview of the mission and
its progresses, including payload, core sciences, ground calibration/facility,
ground segment, data archive, software, in-orbit performance, calibration,
background model, observations and some preliminary results.Comment: 29 pages, 40 figures, 6 tables, to appear in Sci. China-Phys. Mech.
Astron. arXiv admin note: text overlap with arXiv:1910.0443
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