retinaface - deep learning based cutting-edge facial detector for Python coming with facial landmarks dockerface - Easy to install and use deep learning Faster R-CNN face detection for images and video in a docker container. [Deprecated] Detectron - FAIR's software system that implements state-...
2.2.1 Gradient-Based Detectors A gradient-based corner response prefers the use of the first-order information in image to distinguish the corner feature. The earliest automatic corner detection method could be traced to Moravec detector (Moravec 1977), which first introduced the concept of “intere...
are kernel-based estimators from a special boosting kernel , which plays a key role for subsequent developments. proposition 1 the quantity \({\hat{y}}(\nu )\) is a kernel-based estimator $$\begin{aligned} \hat{y}(\nu ) = s_{\lambda , \nu }y = p_{\lambda ,\nu }(p_{\...
Visual features extracted by retinal circuits are streamed into higher visual areas (HVAs) after being processed along the visual hierarchy. However, how specialized neuronal representations of HVAs are built, based on retinal output channels, remained u
Animals make predictions to guide their behavior and update those predictions through experience. Transient increases in dopamine (DA) are thought to be critical signals for updating predictions. However, it is unclear how this mechanism handles a wide r
[CVPR] 3DSSD: Point-based 3D Single Stage Object Detector. [det] [CVPR] Going Deeper with Point Networks. [pytorch]['cls.'] [CVPR] Connect-and-Slice: an hybrid approach for reconstructing 3D objects. [reconstruction] [CVPR] Feature-metric Registration: A Fast Semi-supervised Approach for ...
The nominated comb-type pilot-based technique was used within a space–time block coding (STBC). Conventionally, the comb-type pilot is the most used for the relatively small MIMO–OFDM architectures [116]. However, with more complex architectures, the amount of overhead increase and the ...
Thus, a new fault detection method based on the shock-response convolutional sparse-coding technique (SRCSCT) is proposed in this paper and is applied to fault detection and behaviour characterization in the wheelset bearing of a high-speed train. This paper is organized as follows. The ...
RQ2 consolidates various techniques and methods used for deception detection, seeking to determine their effectiveness and the contributing factors, including the context, characteristics of the deceiver and detector, and the nature of deception. Lastly, RQ3 endeavors to pinpoint and analyze the ...
H. (2012). Efficient online structured output learning for keypoint-based object tracking. In IEEE proceedings of international conference on computer vision and pattern recognition (CVPR) (pp. 1894–1901). IEEE. Heisele, B., Serre, T., Prentice, S., & Poggio, T. (2003). Hierarchical ...