Research map / Detection and segmentation / Tracking
Siamese Box Adaptive Network for Visual Tracking
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use SiamBAN instead of DiMP-50 | visual tracking · VOT2018 | EAO: 0.441 -> 0.452 | Helped |
| use SiamBAN instead of SiamRPN++ | visual tracking · VOT2018 | EAO: 0.417 -> 0.452 | Helped |
| use SiamBAN instead of SiamRPN++ | visual tracking · VOT2018 | Accuracy: 0.604 -> 0.597 | Hurt |
| use SiamBAN instead of DiMP | visual tracking · VOT2019 real-time | EAO: 0.321 -> 0.327 | Helped |
| use all three feature levels rather than the best single level (ablation) | SiamBAN · OTB100 | AUC: 0.683 -> 0.696 | Helped |
| aggregate conv3 and conv4 rather than use conv4 only (ablation) | SiamBAN · OTB100 | AUC: 0.683 -> 0.687 | Helped |
| aggregate conv3 and conv5 rather than use conv5 only (ablation) | SiamBAN · OTB100 | AUC: 0.662 -> 0.681 | Helped |
| aggregate conv4 and conv5 rather than use conv4 only (ablation) | SiamBAN · OTB100 | AUC: 0.683 -> 0.689 | Helped |
| replace circle labels with ellipse labels (ablation) | SiamBAN with all feature levels · OTB100 | AUC: 0.686 -> 0.696 | Helped |
| replace rectangle labels with ellipse labels (ablation) | SiamBAN with all feature levels · OTB100 | AUC: 0.688 -> 0.696 | Helped |
Closest papers by meaning
- SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking (CVPR 2020 · similarity 0.93)
- SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks (CVPR 2019 · similarity 0.92)
- Deeper and Wider Siamese Networks for Real-Time Visual Tracking (CVPR 2019 · similarity 0.92)
- High Performance Visual Tracking With Siamese Region Proposal Network (CVPR 2018 · similarity 0.91)
- SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines (AAAI 2020 · similarity 0.90)
- Deformable Siamese Attention Networks for Visual Object Tracking (CVPR 2020 · similarity 0.90)
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