Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h). This is an official implementation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
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Updated
Mar 26, 2020 - Python
The idea is to have a more advanced Filter Pruning method to be able to show SOTA results in model compression/optimization.
I suggest reimplementing the method from here: https://github.com/cmu-enyac/LeGR and reproduce baseline results for MobileNet v2 on CIFAR100 as the first step.
cc'ed @vshampor, @vanyalzr.