7,423 research outputs found
Extend the shallow part of Single Shot MultiBox Detector via Convolutional Neural Network
Single Shot MultiBox Detector (SSD) is one of the fastest algorithms in the
current object detection field, which uses fully convolutional neural network
to detect all scaled objects in an image. Deconvolutional Single Shot Detector
(DSSD) is an approach which introduces more context information by adding the
deconvolution module to SSD. And the mean Average Precision (mAP) of DSSD on
PASCAL VOC2007 is improved from SSD's 77.5% to 78.6%. Although DSSD obtains
higher mAP than SSD by 1.1%, the frames per second (FPS) decreases from 46 to
11.8. In this paper, we propose a single stage end-to-end image detection model
called ESSD to overcome this dilemma. Our solution to this problem is to
cleverly extend better context information for the shallow layers of the best
single stage (e.g. SSD) detectors. Experimental results show that our model can
reach 79.4% mAP, which is higher than DSSD and SSD by 0.8 and 1.9 points
respectively. Meanwhile, our testing speed is 25 FPS in Titan X GPU which is
more than double the original DSSD.Comment: 7 pages, 3 figures, 3 table
Ferromagnetism in Fe-doped Ba6Ge25 Chiral Clathrate
We have successfully synthesized a Ba6Ge25 clathrate, substituting 3 Fe per
formula unit by Ge. This chiral clathrate has Ge sites forming a framework of
closed cages and helical tunnel networks. Fe atoms randomly occupy these sites,
and exhibit high-spin magnetic moments. A ferromagnetic transition is observed
with Tc = 170 K, the highest observed Tc for a magnetic clathrate. However, the
magnetic phase is significantly disordered, and exhibits a transformation to a
re-entrant spin glass phase. This system has a number of features in common
with other dilute magnetic semiconductors.Comment: Submitted to Applied Physics Letters. Fig. 1 resolution reduced for
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