WireGuard VPN
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.
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Ren, He, Girshick, Sun (2016) Faster R-CNN
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...
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Girshick (2015) Fast R-CNN
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.
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Girshick et al (2014) Rich feature hierarchies for accurate object detection and semantic segmentation
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...
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Howard et al (2017) MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Convolutional networks such as AlexNet demonstrated the accuracy image
recognition. However, latency as well as model size (i.e., memory) can be a
concern. MobileNet proposed in this paper is to make these adjustable.
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