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The CMake Build system And Software Implementation Standard makes it easy to create sharable software and libraries that work together. This is accomplished by combining and documenting some of the best practices and utilities available. More importantly, BASIS supplies a fully integrated suite of functionality to make the whole process seamless! Check out the web site for more information. The Git repository of this project is hosted on GitHub. Some interesting facts about this project...

CRF-RNN is a deep neural architecture that integrates fully connected Conditional Random Fields (CRFs) with Convolutional Neural Networks (CNNs) by reformulating mean-field CRF inference as a Recurrent Neural Network. This fusion enables end-to-end training via backpropagation for semantic image segmentation tasks, eliminating the need for separate, offline post-processing steps. Our work allows computers to recognize objects in images, what is distinctive about our work is that we also...