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Found 2 papers, 1 papers with code
Breaking of brightness consistency in optical flow with a lightweight CNN network
Modifying the typical brightness consistency of the optical flow method to the convolutional feature consistency yields the light-robust hybrid optical flow method.
An Empirical Study of Low Precision Quantization for TinyML
In this study, we focus on post-training quantization (PTQ) algorithms that quantize a model to low-bit (less than 8-bit) precision with only a small set of calibration data and benchmark them on different tinyML use cases.
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