Convolutional Feature Masking for Joint Object and Stuff Segmentation

CVPR 2015 Jifeng DaiKaiming HeJian Sun

The topic of semantic segmentation has witnessed considerable progress due to the powerful features learned by convolutional neural networks (CNNs). The current leading approaches for semantic segmentation exploit shape information by extracting CNN features from masked image regions... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Semantic Segmentation PASCAL Context CFM mIoU 34.4 # 30

Methods used in the Paper


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