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Found 4 papers, 2 papers with code
EGIC: Enhanced Low-Bit-Rate Generative Image Compression Guided by Semantic Segmentation
We introduce EGIC, an enhanced generative image compression method that allows traversing the distortion-perception curve efficiently from a single model.
TinyProp -- Adaptive Sparse Backpropagation for Efficient TinyML On-device Learning
On average, TinyProp is 2. 9 times faster than existing, static sparse backpropagation algorithms and the accuracy loss is reduced on average by 6 % compared to a typical static setting of the back-propagation ratio.
MLonMCU: TinyML Benchmarking with Fast Retargeting
Thus, automating the end-to-end benchmarking flow is of high relevance nowadays.
Fused Depthwise Tiling for Memory Optimization in TinyML Deep Neural Network Inference
It improves TinyML memory optimization significantly by reducing memory of models where this was not possible before and additionally providing alternative design points for models that show high run time overhead with existing methods.
