Chapter 5 Guide Cnn Object Detection Evodn

Summary

Until now we have seen Classification and Localization. With this knowledge lets think of ways to do We compare the results of ImageNet competition while the classical CV based techniques were used (before 2012) with the ... The problem we discussed in the previous video was that, using the Sliding window technique and taking the crop of the image at ... We ended the last video with a few questions. We got a 2x2 output for a 8x8 image. The questions were: 1. Does this output make ... This video will take you through the network design of Overfeat. ------------------------ This is a part of the course 'Evolution of Note that in this video, I used the word Resolution. It should have actually been 'Effective Stride'. Note that though Overfeat is not ... Now lets shift our focus to the classification layer, consisting of Fully Connected Layers. We will understand FC layer with the help ... In this video we will see why we need Machine Learning and we will take a brief look at some of its applications. We will look at the Chain of Influences that have eventually led to the creation of Faster RCNN. My initial thought was to just look ... This video summarizes what we have discussed until now in the course on CNNs. We have seen how Overfeat network works. Bag of Visual Words technique is similar to the way we get Histogram bins of images that we saw in the previous video. Except ... Pooling layer is similar to downsampling of an image, where the most important features are retained despite the loss of ...