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Aleksandar Zlateski

2 accepted papers

2018

On the Importance of Label Quality for Semantic Segmentation

CVPR 2018poster

Convolutional networks (ConvNets) have become the dominant approach to semantic image segmentation. Producing accurate, pixel--level labels required for this task is a tedious and time consuming process; however, producing approximate, coarse labels could take only a fraction of the time and effort.…

Cited by 108SourcePDFScholar
2015

Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Prediction

NeurIPS 2015poster

Efforts to automate the reconstruction of neural circuits from 3D electron microscopic (EM) brain images are critical for the field of connectomics. An important computation for reconstruction is the detection of neuronal boundaries. Images acquired by serial section EM, a leading 3D EM technique, a…