8 is forwarded via max-pooling (channel-wise) and average pooling for generation of outputs \(\:{\text{G}}_{\text{m}\text{a}\text{x}}^{\text{s}}\in\:{\text{T}}^{\text{H}\times\:\text{W}\times\:1}\)and \(\:{\:\text{G}}_{\text{A}\text{v}\text{g}}^{\text{s...
Orsi, A.N. Moore, P.K. Dash Disruption of the perineuronal net in the hippocampus or medial prefrontal cortex impairs fear conditioning Learn. Mem., 20 (2013), pp. 267-273 CrossrefView in ScopusGoogle Scholar Ignatiadis et al., 2016 N. Ignatiadis, B. Klaus, J.B. Zaugg, W. Huber ...
The Backbone module incorporates Conv, C2f, and Spatial Pyramid Pooling Fast (SPPF) components, which, respectively, enhance nonlinear expression, feature propagation, and multi-scale processing capabilities. The Neck part employs a Path Aggregation Network (PAN) [13] structure, combining the Feature...
On average, GaitSTAR enhances accuracy by approximately 2.2%(CH), with an increase of roughly 6%(CH) under fast-walking (FW) conditions compared to the PSN method proposed by [35]. This improvement may be attributed to the silhouette edge in the DSFR, which furnishes valuable spatial informa...
This method is simple, fast, and efficient, but it is prone to spectral distortion. In the CS framework, the choice of transformation and the injection gain are two crucial factors that determine the quality of the fusion performance. The representation CS methods include the intensity–hue–...
This category of methods is easy to implement and exhibits fast processing speeds while effectively preserving spatial information. However, these methods might introduce certain degrees of distortion to spectral information. The MRA approach involves initially downsampling the HR-PAN image at multiple ...
This is due to the fact that each joint has a different motion range, and imposing constraints on the speed would result in loss of dynamic features for joints with large ranges of motion and fast speeds. Furthermore, analysis of position mutation reveals that joint velocity in the 3D ...
Fast Edge Detection Using Structured Forests. IEEE Trans. Pattern Anal. Mach. Intell. 2015, 37, 1558–1570. [Google Scholar] [CrossRef] Valente, N.A.; Mao, Z.; Niezrecki, C. Holistically Nested Edge Detection and particle filtering for subtle vibration extraction. Mech. Syst. Signal ...