Pyramid Feature Attention Network for Saliency detection

CVPR 2019 Ting ZhaoXiangqian Wu

Saliency detection is one of the basic challenges in computer vision. How to extract effective features is a critical point for saliency detection... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Saliency Detection DUT-OMRON Pyramid Feature Attention MAE 0.0414 # 1
Saliency Detection DUTS-test Pyramid Feature Attention MAE 0.0405 # 1
Saliency Detection ECSSD Pyramid Feature Attention MAE 0.0328 # 1
Saliency Detection HKU-IS Pyramid Feature Attention MAE 0.0324 # 1
Saliency Detection PASCAL-S Pyramid Feature Attention MAE 0.0677 # 1

Methods used in the Paper


METHOD TYPE
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