There is still room in my January 13th class which meets on Monday and Wednesday from 4-6pm. Please remember that there is a parent student orientation on Saturday, 1/11/25 at 10am. The cost is $500. You can pay at the orientation. Future classes also have plenty of room for students...
International Classes: G09G3/36 View Patent Images: Download PDF 20070296663 Related US Applications: 20050007345Power saving deviceJanuary, 2005Kuan 20140347264DEVICE AND METHOD FOR DISPLAYING AN ELECTRONIC DOCUMENT USING A DOUBLE-SIDED DISPLAYNovember, 2014Lee et al. ...
energy-saving classes International: IE1, IE2, IE3, IE4 China: Grade 1 to Grade 2 Approval certificates, test labels Europe: CE Russia: Gost TR, Gost R, RMRS China: CEL, CCC USA: UL, UR, ee Canada: CSA, CSAe Brazil: ENCE, Procel South Corea: REELS Explosion protection Europe: ATEX...
We evaluate MScale-HRNet on the 65 class Mapillary validation set, where it achieves an mIoU of 59.71% for 65 classes. Qualitatively, as shown in Figure 5, the two semantic segmentation networks perform similarly in close range with only one major difference. MScale-HRNet fills in gaps on ...
(3) We combine four object detection classes (bus, train, truck, car) into one (vehicle), and two drivable area classes (alternative, direct) into one (drivable). (4) We convert the lane lines, which are marked with two edge lines in the BDD100K dataset, to centerlines. Meanwhile, ...
in this work. Several variations of this augmentation method are explored, revealing that in our case, the most commonly used is not necessarily the best. We show that an easy-to-create polygon can noticeably improve the detection results in this application scenario. By using these augmentation...
In this paper, 𝛼𝑡αt is equally set to 1/𝑁1/N for all classes, and 𝛾γ is set to 2. Regression loss 𝐿𝑅𝑒𝑔LReg is a loss function introduced for bounding box regression. It uses Smooth L1 loss (Huber loss) and is defined as follows: 𝐿𝑅𝑒𝑔={0.5×(...
They also offer an adaptive threshold-moving post-processing phase for boosting the recall rate for uncommon classes, as well as a cost-sensitive loss function to mitigate class imbalance. 4.4. Semantic Segmentation from Other Modalities Even if color and 3D data are the two key sources of ...
These images encompass seven object classes: car, bicycle, pedestrian, red traffic light, yellow traffic light, green traffic light, and stop sign. For labeling, we employed a semi-automatic approach for cars, bicycles, pedestrians, and stop signs, leveraging sensor instances provided by the ...
For classes with a small number of samples, it will be expanded by random deletion, rotation around the Z axis and Gaussian random noise after copying. Furthermore, since the number of points per class varies a lot within and between classes, the input requires samples to maintain the same ...