总结2018-2019显著性检测论文

总结2018-2019显著性检测论文

2018(CVPR)

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

2019（CVPR）

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

2019（ICCV）

1. Employing Deep Part-Object Relationships for Salient Object Detection
2. TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency Detection
3. Structured Modeling of Joint Deep Feature and Prediction Refinement for Salient Object Detection
4. Selectivity or Invariance: Boundary-Aware Salient Object Detection
5. Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation
6. Towards High-Resolution Salient Object Detection
7. Depth-Induced Multi-Scale Recurrent Attention Network for Saliency Detection
8. Stacked Cross Refinement Network for Edge-Aware Salient Object Detection
9. Motion Guided Attention for Video Salient Object Detection
10. Semi-Supervised Video Salient Object Detection Using Pseudo-Labels
11. EGNet: Edge Guidance Network for Salient Object Detection
12. Deep Learning for Light Field Saliency Detection
13. Optimizing the F-Measure for Threshold-Free Salient Object Detection

2019（AAAI）

1. SuperVAE: Superpixelwise Variational Autoencoder for Salient Object Detection
2. Robust Deep Co-Saliency Detection with Group Semantic
3. Deep Embedding Features for Salient Object Detection