Tyler's results, we inferred that the vector sum of two eyes' image motion might be an important factor for detecting the approaching object even in fully visual field; furthermore, we inferred that vector sum of two eyes' images might be one of important cues in the mechanism of human ...
Consider scanning various prospective areas of the image that could represent zoomed portions of the image and various positions and rotations. It starts getting tricky if one of the images are a skewed version of another, these are the sort of limitations you should identify and compromise on. ...
exhibited the highest level ofPsmb11expression, which is indicative of mature cTECs48but also cells possessing progenitor potential, at least during embryogenesis1,24,25and in the early postnatal period49. Hence, c5 exhibited features consistent with a bipotent progenitor. The transcriptomes of c6,...
Electromagnetic (EM) simulation tools have become indispensable in the design of contemporary antennas. Still, the major setback of EM-driven design is the associated computational overhead. This is because a single full-wave simulation may take from doz
,ni. WWc is ni×kh×kw filter weights sliced from c-th channel of WW. ββ is coefficient vector of length ni for channel selection, and βc (c-th entry of ββ) is a scalar mask to c-th channel (i.e., to drop the whole channel or not). Similar to the above channel ...
5 Left that the magnitude of gradients’ vector sum from two R-CNN modules is always smaller than the sum of two gradients’ magnitudes, which means the knowledge provided by two R-CNN modules are not exactly the same. As shown in Fig. 5 Right, a similar phenomenon is observed in Mask...
For the remaining two types of images, in the second-stage classification, Gabor filter is first applied to segment the region of interest (ROI) (such as microfracture, absciss layer and horizontal cracks, etc.) and the central interference region. Then, using the same feature vector after ...
To generate realistic images from text descriptions. To use the skip thought vector encoding for sentences. To construct Deep Convolutional GAN and train on MSCOCO and CUB datasets. Related Theoritical concepts A. Skip-Thought Vectors Skip-thought model [1] is an unsupervised encoder-decoder model...
Fig. 4: The subcarrier EVMs (EVMs, error vector magnitudes) at different subcarrier indices. The subcarrier EVMs of a 10-Gbps/26-GHz (x-polarisation; upstream) and 10-Gbps/38-GHz (y-polarisation; downstream), and b 1-Gbps/3.7-GHz (x-polarisation; upstream) and 1-Gbps/4.4-GHz (y-...
{\prime} )=i/(\omega {^{\prime} }^{2}-k{^{\prime} }^{2}+i\epsilon )\) is the propagator of free photon with \(\epsilon \) being an infinitesimal positive number, \(h=2n\pi /a\) is the reciprocal lattice vector (for all integer values of n), and \(\Pi (k,\omega )...