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Anthony Ortiz

2 accepted papers

2020

Local Context Normalization: Revisiting Local Normalization

CVPR 2020oral

Normalization layers have been shown to improve convergence in deep neural networks, and even add useful inductive biases. In many vision applications the local spatial context of the features is important, but most common normalization schemes including Group Normalization (GN), Instance Normalizat…

Cited by 36PDFcodeScholar
2020

Mining self-similarity: Label super-resolution with epitomic representations

ECCV 2020poster

We show that simple patch-based models, such as epitomes (Jojic et al., 2003), can have superior performance to the current state of the art in semantic segmentation and label super-resolution, which uses deep convolutional neural networks. We derive a new training algorithm for epitomes which allow…