Searching for Efficient Multi-Scale Architectures for Dense Image Prediction

NeurIPS 2018 Liang-Chieh ChenMaxwell D. CollinsYukun ZhuGeorge PapandreouBarret ZophFlorian SchroffHartwig AdamJonathon Shlens

The design of neural network architectures is an important component for achieving state-of-the-art performance with machine learning systems across a broad array of tasks. Much work has endeavored to design and build architectures automatically through clever construction of a search space paired with simple learning algorithms... (read more)

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Evaluation results from the paper


Task Dataset Model Metric name Metric value Global rank Uses extra
training data
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Semantic Segmentation Cityscapes test Dense Prediction Cell Mean IoU (class) 82.7% # 5
Semantic Segmentation PASCAL VOC 2012 test DPC Mean IoU 87.9% # 2