Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report — mentioned by Datenstrom

Tue, 15 Feb 2022 20:08:10 GMT

While this is true there is also a lot of interesting research going on that makes model training and adaptation to new tasks much more efficient. For example in meta-learning methods like Model Agnostic Meta-Learning (MAML)[1] you learn a model that learns to initialize weights for another model such that it converges very quickly for a new task. For datasets benchmarking new task adaptation there are Meta-Dataset (MD)[2] for Meta-Learning, and the Visual Task Adaptation Benchmark (VTAB)[3] for Representation Learning. Recently to compare the two approaches VTAB+MD[4] was created. Of course…

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Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report · HackerPapers discussions

Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report — mentioned by Datenstrom