HKT is a modular feature-level distillation method whose genetic attention residual improves compact vision models on optical flow, classification, and segmentation benchmarks.
In 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 19–28
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HKT: A Biologically Inspired Framework for Modular Hereditary Knowledge Transfer in Neural Networks
HKT is a modular feature-level distillation method whose genetic attention residual improves compact vision models on optical flow, classification, and segmentation benchmarks.