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

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]

Girshick (2015) Fast R-CNN

February 8, 2023 paper

This is the Fast R-CNN paper. It improves over R-CNN. It is a single-stage training model (i.e., only one model to train) on the Pascal VOC 2012 dataset. It is faster than R-CNN by using the RoI pooling layer. [more]

Girshick et al (2014) Rich feature hierarchies for accurate object detection and semantic segmentation

February 4, 2023 paper

This is the R-CNN paper. It is a multi-stage process to take an image as input and produces bounding boxes and classification softmax vector as output. This is called localization of object within an image. The paper is based on Pascal VOC dataset (20 classes). Most of the technical details... [more]