Approximate Pattern Matching using Hierarchical Graph Construction and Sparse Distributed Representation
Aakanksha Mathuria, Dan W. Hammerstrom · 2019
With recent developments in deep networks, there have been significant advances in visual object detection and recognition. However, some of these networks are still easily fooled/hacked and have shown "bag of features" failures. Some of this is due to the fact that even deep networks make only marginal use of the complex structure that exists in real-world images, even after training on huge numbers of images. Biology appears to take advantage of such a structure, but how?