- BASNet: Boundary Aware Salient Object Detection
- SE2Net: Siamese Edge-Enhancement Network for Salient Object Detection
- Salient Object Detection: A Survey
- CVPR2019的显著性文章一览
- Salient Object Detection with Pyramid Attention and Salient Edges
- Learning Uncertain Convolutional Features for Accurate Saliency Detection
- Attentive Feedback Network for Boundary-Aware Salient Object Detection
- MEnet: A Metric Expression Network for Salient Object Segmentation
- Cascaded Partial Decoder for Fast and Accurate Salient Object Detection
- Learning to Promote Saliency Detectors
- Pyramid Feature Attention Network for Saliency detection
- Learning to Detect Salient Objects with Image-level Supervision
- Deeply Supervised Salient Object Detection with Short Connections
- A Simple Pooling-Based Design for Real-Time Salient Object Detection
- Saliency Detection with Recurrent Fully Convolutional Networks
- An Iterative and Cooperative Top-down and Bottom-up Inference Network for Salient Object Detection
- A Mutual Learning Method for Salient Object Detection with intertwined Multi-Supervision
- ICCV2019的显著性文章一览
- ICNet: Intra-saliency Correlation Network for Co-Saliency Detection
- Re-thinking Co-Salient Object Detection
- CVPR2020的显著性文章一览
- Global Context-Aware Progressive Aggregation Network for Salient Object Detection
- F3Net: Fusion, Feedback and Focus for Salient Object Detection
- Progressive Feature Polishing Network for Salient Object Detection
- Towards High-Resolution Salient Object Detection
- Selectivity or Invariance: Boundary-Aware Salient Object Detection
- Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal Fusion
- 一些之前的论文
- SAC-Net: Spatial Attenuation Contextfor Salient Object Detection
- Semi-Supervised Video Salient Object Detection Using Pseudo-Labels
- Contour Loss: Boundary-Aware Learning for Salient Object Segmentation
- CVPR2018的显著性文章一览
- A Bi-directional Message Passing Model for Salient Object Detection
- Detect Globally, Refine Locally: A Novel Approach to Saliency Detection