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Code for "Semantic Object Accuracy for Generative Text-to-Image Synthesis" (TPAMI 2020)
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The CNN model with cifar10 dataset for 2 versions: 1. normalize data with mean-0 and standard deviation-1 2. samples that lie in the unit cube
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A test task where I had to add a custom filter from openCV in a convnet and see the results.
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This is the test task for the project Self-Supervised Autoencoder
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Same functionality as thesis repo but with Git Repo code instead of mine.
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