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cs.LG2017★ 3 cited
Rethinking Convolutional Semantic Segmentation Learning
Mrinal Haloi
Deep convolutional semantic segmentation (DCSS) learning doesn't converge to an optimal local minimum with random parameters initializations; a pre-trained model on the same domain…
cs.LG2017★ 2 cited
Deep Learning: Generalization Requires Deep Compositional Feature Space Design
Mrinal Haloi
Generalization error defines the discriminability and the representation power of a deep model. In this work, we claim that feature space design using deep compositional function p…