总结 CVPR 2019显著性目标检测文章

总结 CVPR 2019显著性目标检测文章

1. Salient Object Detection With Pyramid Attention and Salient Edges
2. Attentive Feedback Network for Boundary-Aware Salient Object Detection
3. Pyramid Feature Attention Network for Saliency Detection
4. Co-Saliency Detection via Mask-Guided Fully Convolutional Networks With Multi-Scale Label Smoothing
5. Cascaded Partial Decoder for Fast and Accurate Salient Object Detection
6. A Simple Pooling-Based Design for Real-Time Salient Object Detection
7. Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection
8. An Iterative and Cooperative Top-Down and Bottom-Up Inference Network for Salient Object Detection
9. CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection
10. Multi-Source Weak Supervision for Saliency Detection
11. BASNet: Boundary-Aware Salient Object Detection
12. A Mutual Learning Method for Salient Object Detection With Intertwined Multi-Supervision
13. Shifting More Attention to Video Salient Object Detection