∫ntegrabℓε ∂iﬀerentiαℓs · unorganised notes, code, and writings of random topics

He et al (2016) Deep Residual Learning for Image Recognition

March 3, 2023 paper

This is the ResNet paper. Not only this proposed the shortcut connection architecture, but also give the architecture for image classification and object detection. [more]

He, Gkioxari and Dollar and Girshick (2017) Mask R-CNN

March 3, 2023 paper

This is the Mask R-CNN paper. It extends Faster R-CNN to produce pixel masks, i.e., for semantic segmentation. It extends Faster R-CNN by adding a branch for predicting segmentation masks on each Region of Interest (RoI). However, this have to support with RoIAlign instead of RoIPooling, to avoid error introduced... [more]

Shelhamer, Long, and Darrell (2017) Fully Convolutional Networks for Semantic Segmentation

March 2, 2023 paper

This journal paper and its 2015 conference paper is to propose a solution for semantic segmentation, i.e., classification of pixels on an image to objects. It is more refined than a bounding box. The paper proposed a solution that involves only convolutional layers but not fully connected layers so that... [more]

WireGuard VPN

February 15, 2023 blog system

WireGuard is regarded as the only right way to do VPN. There are quite many benefit of using that. While the configuration is easy, you need to understand what it is doing to properly set it up. [more]

Ren, He, Girshick, Sun (2016) Faster R-CNN

February 12, 2023 paper

This is the Faster R-CNN paper. It improves over Fast R-CNN and R-CNN in the sense that region proposals are generated from the image. It combines a region proposal network (RPN) with the Fast R-CNN detection network so the convolutional network part is shared. It eliminated the use of region... [more]