Research map / Detection and segmentation / Tracking
Transformer Tracking With Cyclic Shifting Window Attention
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| replace pixel-level attention with window attention alone (ablation) | Transformer tracker · UAV123 | AUC: 66.2 -> 54.4 | Hurt |
| add cyclic shifts to window attention (ablation) | CSWinTT · UAV123 | AUC: 54.4 -> 69.7 | Helped |
| add the spatially regularized attention mask (ablation) | CSWinTT with window attention and cyclic shifts · UAV123 | AUC: 69.7 -> 70.1 | Helped |
| add relative position encoding without the spatial mask (ablation) | CSWinTT with window attention and cyclic shifts · UAV123 | AUC: 69.7 -> 69.8 | Helped |
| combine the spatial mask and relative position encoding (ablation) | CSWinTT with window attention and cyclic shifts · UAV123 | AUC: 70.1 -> 70.5 | Helped |
| use multi-scale windows rather than one fixed window size (ablation) | CSWinTT · UAV123 | AUC: 70.0 -> 70.5 | Helped |
| remove cyclic shifts of Query (ablation) | CSWinTT computation · Tracking speed | FPS: 1.0 -> 8.2 | Helped |
| halve the shifting periods (ablation) | CSWinTT computation with Query shifts removed · Tracking speed | FPS: 8.2 -> 10.9 | Helped |
| use coordinate permutations instead of direct matrix translations for cyclic shifts (ablation) | CSWinTT computation with Query shifts removed and periods halved · Tracking speed | FPS: 10.9 -> 12.4 | Helped |
| use cyclic-shifting window attention instead of the original transformer (ablation) | CSWinTT · Tracking speed | FPS: 14.9 -> 12.4 | Hurt |
Closest papers by meaning
- Compact Transformer Tracker with Correlative Masked Modeling (AAAI 2023 · similarity 0.90)
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