Research map / Detection and segmentation / Tracking
Target-Aware Deep Tracking
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use regression-guided rather than random filter selection on Conv4-1 (ablation) | Target-Aware Deep Tracking · OTB-2013 | AUC: +4.3% | Helped |
| Use regression-guided rather than random filter selection on Conv4-1 (ablation) | Target-Aware Deep Tracking · OTB-2015 | AUC: +4.4% | Helped |
| Use regression-guided rather than random filter selection on Conv4-3 (ablation) | Target-Aware Deep Tracking · OTB-2013 | AUC: +4.9% | Helped |
| Use regression-guided rather than random filter selection on Conv4-3 (ablation) | Target-Aware Deep Tracking · OTB-2015 | AUC: +3.4% | Helped |
| Combine regression-guided features from Conv4-1 and Conv4-3 (ablation) | Target-Aware Deep Tracking · OTB-2013 | AUC: +0.7% | Helped |
| Combine regression-guided features from Conv4-1 and Conv4-3 (ablation) | Target-Aware Deep Tracking · OTB-2015 | AUC: +0.7% | Helped |
| Add ranking-guided scale-sensitive Conv4-1 features to the regression-guided feature combination (ablation) | Target-Aware Deep Tracking · OTB-2013 | AUC: +1.8% | Helped |
| Add ranking-guided scale-sensitive Conv4-1 features to the regression-guided feature combination (ablation) | Target-Aware Deep Tracking · OTB-2015 | AUC: +1.6% | Helped |
Closest papers by meaning
- Correlation-Aware Deep Tracking (CVPR 2022 · similarity 0.91)
- SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines (AAAI 2020 · similarity 0.90)
- Deeper and Wider Siamese Networks for Real-Time Visual Tracking (CVPR 2019 · similarity 0.89)
- Learning Multi-Domain Convolutional Neural Networks for Visual Tracking (CVPR 2016 · similarity 0.89)
- High Performance Visual Tracking With Siamese Region Proposal Network (CVPR 2018 · similarity 0.88)
- Release the Power of Online-Training for Robust Visual Tracking (AAAI 2020 · similarity 0.88)
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