Research map / Video / Video segmentation and tracking
Siamese Network with Interactive Transformer for Video Object Segmentation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use SITVOS with its Siamese backbone and interactive transformer | semi-supervised VOS · DAVIS 2017-Val | J&F | Helped |
| Add COCO simulated-video pre-training (ablation) | SITVOS · DAVIS 2016-Val | J&F: +2.0% | Helped |
| Add COCO simulated-video pre-training (ablation) | SITVOS · DAVIS 2017-Val | J&F: +7.2% | Helped |
| Add FIM to the transformer (ablation) | SITVOS · DAVIS 2016-Val | J&F: 89.2 -> 90.5; 1.3% | Helped |
| Add FIM to the transformer (ablation) | SITVOS · DAVIS 2017-Val | J&F: 82.0 -> 83.5; 1.5% | Helped |
| Use first and previous frames rather than first frame only in memory (ablation) | SITVOS · DAVIS 2017-Val | J&F: 70.7 -> 81.8 | Helped |
| Use previous frame only rather than first frame only in memory (ablation) | SITVOS · DAVIS 2016-Val | J&F: 83.8 -> 86.5 | Helped |
| Introduce intermediate frames into memory (ablation) | SITVOS · DAVIS 2017-Val | J&F: 81.8 -> 83.1 | Helped |
| Use a fixed number of sampled memory frames rather than a fixed interval (ablation) | SITVOS · DAVIS 2017-Val | J&F: 83.1 -> 83.5 | Helped |
Closest papers by meaning
- Learning Dynamic Network Using a Reuse Gate Function in Semi-Supervised Video Object Segmentation (CVPR 2021 · similarity 0.90)
- Fast Video Object Segmentation by Reference-Guided Mask Propagation (CVPR 2018 · similarity 0.90)
- Learning Fast and Robust Target Models for Video Object Segmentation (CVPR 2020 · similarity 0.89)
- Fast Online Object Tracking and Segmentation: A Unifying Approach (CVPR 2019 · similarity 0.89)
- Point-VOS: Pointing Up Video Object Segmentation (CVPR 2024 · similarity 0.88)
- LiVOS: Light Video Object Segmentation with Gated Linear Matching (CVPR 2025 · similarity 0.87)
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