总结 CVPR 2018 显著性目标检测文章

总结 CVPR 2018 显著性目标检测文章

1. Progressive Attention Guided Recurrent Network for Salient Object Detection
2. Learning to Promote Saliency Detectors
3. Salient Object Detection Driven by Fixation Prediction
4. A Bi-Directional Message Passing Model for Salient Object Detection
5. Progressively Complementarity-Aware Fusion Network for RGB-D Salient Object Detection
6. PiCANet: Learning Pixel-Wise Contextual Attention for Saliency Detection
7. Detect Globally, Refine Locally: A Novel Approach to Saliency Detection
8. Flow Guided Recurrent Neural Encoder for Video Salient Object Detection
9. Revisiting Video Saliency: A Large-Scale Benchmark and a New Model
10. Revisiting Salient Object Detection: Simultaneous Detection, Ranking, and Subitizing of Multiple Salient Objects
11. Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective