Search results with tag "Detec tion"
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
![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 ...