Searching for Efficient Multi-Scale Architectures for Dense Image Prediction

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)

PDF Abstract NeurIPS 2018 PDF NeurIPS 2018 Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK USES EXTRA
TRAINING DATA
RESULT BENCHMARK
Semantic Segmentation Cityscapes test Dense Prediction Cell Mean IoU (class) 82.7% # 13
Human Part Segmentation PASCAL-Part DPC mIoU 71.34 # 3
Semantic Segmentation PASCAL VOC 2012 test DPC Mean IoU 87.9% # 4

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet