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Compact Transformer Tracker with Correlative Masked Modeling
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add all three correlative reconstruction streams (s2s, t2t, and s2t) (ablation) | CTTrack-B · LaSOT | AUC: 64.0 -> 65.8 | Helped |
| Add search-token self-reconstruction (s2s) (ablation) | CTTrack-B · LaSOT | AUC: 64.0 -> 64.7 | Helped |
| Add template-token self-reconstruction (t2t) (ablation) | CTTrack-B · LaSOT | AUC: 64.0 -> 64.4 | Helped |
| Add search-to-template reconstruction (s2t) (ablation) | CTTrack-B · LaSOT | AUC: 64.0 -> 64.4 | Helped |
| Use a 75% masking ratio rather than a 25% ratio (ablation) | CTTrack-B · LaSOT | AUC: 64.6 -> 65.8 | Helped |
| Increase masking ratio from 75% to 90% (ablation) | CTTrack-B · LaSOT | AUC: 65.8 -> 64.9 | Hurt |
| Add fixed-interval online template updating without confidence filtering (ablation) | CTTrack-B · LaSOT | AUC: 65.8 -> 64.9 | Hurt |
| Add confidence-based score-head filtering to online template updating (ablation) | CTTrack-B with fixed-interval updating · LaSOT | AUC: 64.9 -> 66.0 | Helped |
| Remove template cross-information stream 2 from packed self-attention (ablation) | CTTrack · LaSOT | AUC: 61.7 -> 64.0 | Helped |
| Remove template self-information stream 1 from packed self-attention (ablation) | CTTrack · LaSOT | AUC: 61.7 -> 60.6 | Hurt |
| Remove search self-information stream 4 from packed self-attention (ablation) | CTTrack · LaSOT | AUC: 61.7 -> 58.8 | Hurt |
| Use ViT-Large instead of ViT-Base (ablation) | CTTrack · LaSOT | AUC: 67.8 -> 69.8 | Helped |
Closest papers by meaning
- Target Focused Shallow Transformer Framework for Efficient Visual Tracking (AAAI 2024 · similarity 0.89)
- MIMTrack: In-Context Tracking via Masked Image Modeling (AAAI 2025 · similarity 0.87)
- Sequential Fusion Based Multi-Granularity Consistency for Space-Time Transformer Tracking (AAAI 2024 · similarity 0.86)
- Cross-modulated Attention Transformer for RGBT Tracking (AAAI 2025 · similarity 0.86)
- Video Diffusion Models Excel at Tracking Similar-Looking Objects Without Supervision (NeurIPS 2025 · similarity 0.86)
- OVTR: End-to-End Open-Vocabulary Multiple Object Tracking with Transformer (ICLR 2025 · similarity 0.86)
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