CAGNet: Content-Aware Guidance for Salient Object Detection
Pattern Recognition(2020)
摘要
•A Content-Aware Guidance Network for Salient Object Detection is introduced.•The diverse recognition abilities of multi-level features are exploited to guide the features.•Powerful multi-scale features are extracted by enabling densely connections within large regions in the feature maps.•Our designed loss function outperforms the widely-used Cross-entropy loss by a large margin.•Our method achieves the state-of-the-art performance on five challenging datasets.
更多查看译文
关键词
Saliency detection,Fully convolutional neural networks,Attention guidance
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要