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Found 2 papers, 1 papers with code
TinySeg: Model Optimizing Framework for Image Segmentation on Tiny Embedded Systems
This work implements TinySeg on top of the existing tiny machine learning framework and demonstrates that TinySeg can reduce the peak memory usage of an image segmentation model by 39. 3% for tiny embedded systems.
Enhancing Lightweight Neural Networks for Small Object Detection in IoT Applications
Advances in lightweight neural networks have revolutionized computer vision in a broad range of IoT applications, encompassing remote monitoring and process automation.
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