Detec Tion
Found 8 free book(s)
RetinaFace: Single-Shot Multi-Level Face Localisation in ...
openaccess.thecvf.comFace detec-tion only predicts one center point and scales. Face pose estima-tion calculates the scale, 3D rotation and translation parameters. Sparse face alignment localises more semantic points. Face seg-mentation computes pixel-wise label maps for different semantic
SeqFormer: a Frustratingly Simple Model for Video Instance ...
arxiv.orging vision task that aims to simultaneously perform detec-tion, classification, segmentation, and tracking of object in-stances in videos. Compared to image instance segmenta-tion [6], video instance segmentation is much more chal-lenging since it requires accurate tracking of objects across an entire video.
CNNs for Face Detection and Recognition
cs231n.stanford.eduOne of the most significant breakthrough on object detec-tion with Region Proposals is the R-CNN developed by Gir-shick et al. [9]. First R-CNN generates approximately 2000 Regions of Interest (RoI) using the Region Proposal method on the input image, then it warps each RoI into standard in-put size for the neural network and forward them into the
PATHFINDER
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FSK: Signals and Demodulation - Rochester Institute of ...
edge.rit.eduBinary FSK (usually referred to simply as FSK) is a modula tion scheme typically used to send digital informa tion between digital equipment such as teleprinters and computers. The data are transmitted by shifting the frequency of a continuous carrier in ... at fA is rejected because it is out of the passband of the FM detec tor input filter. The
![ABSTRACT arXiv:1602.00763v2 [cs.CV] 7 Jul 2017](/cache/preview/2/3/0/b/b/8/2/e/thumb-230bb82eb0798dc2a6e0ff338f2d979c.jpg)
ABSTRACT arXiv:1602.00763v2 [cs.CV] 7 Jul 2017
arxiv.orgtion on a diverse set of testing sequences as set by the MOT benchmark database [6] which contains both moving and static camera sequences. For tuning the initial Kalman fil-ter covariances, IOU min, and T Lost parameters, we use the same training/validation split as reported in [12]. The detec-tion architecture used is the FrRCNN(VGG16) [22 ...
814.018 Ordinance on the Incentive Tax on Volatile Organic ...
fedlex.data.admin.chJan 01, 2018 · tion provisions in cases of measures taken to reduce emissions (Art. 9–9h); ... 2 The DETEC shall revise Annex 3 and the operating period under paragraph 1 letter b every five years after consulting the industries and cantons concerned. In doing so, it shall take account of technical developments.
XGBoost: A Scalable Tree Boosting System
dmlc.cs.washington.edution for a given example is the sum of predictions from each tree. is for handling sparse data; a theoretically justi ed weighted quantile sketch procedure enables handling instance weights in approximate tree learning. Parallel and distributed com-puting makes learning faster which enables quicker model ex-ploration.