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Found 2 papers, 1 papers with code
HaarNet: Large-scale Linear-Morphological Hybrid Network for RGB-D Semantic Segmentation
In the network, morphological Haar sampling is applied to both feature channels in several layers, which splits extreme values and high-frequency information such that both can be processed to improve both modalities.
Ranked #47 on
Semantic Segmentation
on NYU Depth v2
MorphPool: Efficient Non-linear Pooling & Unpooling in CNNs
Pooling is essentially an operation from the field of Mathematical Morphology, with max pooling as a limited special case.
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