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SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines

AAAI 2020 · Detection and segmentation › Tracking · approach: Siamese network tracking · 939 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add the regression branch for target state estimation (ablation)SiamFC · VOT2018EAO: 0.306 -> 0.400Helped
Add Youtube-BB training data (ablation)SiamFC · VOT2018EAO: 0.213 -> 0.276Helped
Add COCO and DET training data (ablation)SiamFC with improved head and extra video data · VOT2018EAO: 0.296 -> 0.306Helped
Add three 3×3 convolution layers to the head (ablation)SiamFC · VOT2018EAO: 0.276 -> 0.296Helped
Replace AlexNet with GoogLeNet (ablation)SiamFC++ · VOT2018EAO: 0.400 -> 0.426Helped
Replace AlexNet with GoogLeNet (ablation)SiamFC++ · GOT-10k valAO: 74.9 -> 77.8Helped
Add a second 3×3 convolution layer to the head (ablation)SiamFC++ with GoogLeNet · GOT-10k valAO: 76.2 -> 77.8Helped
Add a third 3×3 convolution layer to the head (ablation)SiamFC++ with GoogLeNet · GOT-10k valAO: 77.8 -> 78.1No clear effect
Add PSS quality assessment instead of no quality assessment (ablation)SiamFC++ with GoogLeNet and two-layer head · GOT-10k valAO: 77.1 -> 77.8Helped
Replace PSS with IoU quality assessment (ablation)SiamFC++ with GoogLeNet and two-layer head · GOT-10k valAO: 77.8 -> 78.0Helped

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