Research map / Detection and segmentation / CNN features
Saliency Unified: A Deep Architecture for Simultaneous Eye Fixation Prediction and Salient Object Segmentation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the unified CNN with CRF refinement for salient-object segmentation | Saliency Unified · DUT-OMRON | MAE: 0.09 -> 0.07 | Helped |
| Add CRF refinement to the segmentation CNN (ablation) | Saliency Unified · DUT-OMRON | mean Fwβ: 0.65 -> 0.68 | Helped |
| Train shared layers simultaneously for fixation and segmentation instead of independently (ablation) | Saliency Unified · DUT-OMRON | NSS: 2.80 -> 3.02 | Helped |
| Train shared layers simultaneously for fixation and segmentation instead of independently (ablation) | Saliency Unified · DUT-OMRON | EMD: 1.07 -> 1.03 | Helped |
| Train shared layers simultaneously for fixation and segmentation instead of independently (ablation) | Saliency Unified · DUT-OMRON | MAE: 0.07 -> 0.07 | No clear effect |
| Train shared layers simultaneously for fixation and segmentation instead of independently (ablation) | Saliency Unified · DUT-OMRON | Fwβ: 0.67 -> 0.68 | Helped |
| Use the unified CNN for eye-fixation prediction | Saliency Unified · DUT-OMRON | NSS: 2.03 -> 3.02 | Helped |
Closest papers by meaning
- A Deeper Look at Saliency: Feature Contrast, Semantics, and Beyond (CVPR 2016 · similarity 0.92)
- Predicting When Saliency Maps Are Accurate and Eye Fixations Consistent (CVPR 2016 · similarity 0.92)
- Salient Object Detection Driven by Fixation Prediction (CVPR 2018 · similarity 0.92)
- An Integrated Model for Effective Saliency Prediction (AAAI 2017 · similarity 0.90)
- Understanding and Visualizing Deep Visual Saliency Models (CVPR 2019 · similarity 0.89)
- Salient Object Detection With Pyramid Attention and Salient Edges (CVPR 2019 · similarity 0.88)
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