Dense Transformer Networks for Brain Electron Microscopy Image Segmentation

Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-19) 2019 Jun LiYongjun ChenLei CaiIan DavidsonShuiwang Ji

The key idea of current deep learning methods for dense prediction is to apply a model on a regular patch centered on each pixel to make pixel-wise predictions. These methods are limited in the sense that the patches are determined by network architecture instead of learned from data... (read more)

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Evaluation Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK COMPARE
Electron Microscopy Image Segmentation SNEMI3D DTN AUC 0.8953 # 1