Research map / Video / Video segmentation and tracking
Hybrid Instance-Aware Temporal Fusion for Online Video Instance Segmentation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use hybrid instance-aware temporal fusion instead of existing online VIS approaches | Online video instance segmentation · YouTube-VIS-2019 val | AP: 41.3 vs 36.6 | Helped |
| Use hybrid instance-aware temporal fusion instead of the strongest listed ResNet-50 baseline | Video instance segmentation · YouTube-VIS-2021 val | AP: 34.2 -> 35.8 | Helped |
| Disable all inter-frame attention (ablation) | Proposed method · YouTube-VIS-2019 val | AP: 41.3 -> 36.9 | Hurt |
| Use only inter-frame p2c attention instead of the full attention design (ablation) | Proposed method · YouTube-VIS-2019 val | AP: 41.3 -> 38.8 | Hurt |
| Add c2c/c2p attention to p2c attention (ablation) | Proposed method · YouTube-VIS-2019 val | AP: 38.8 -> 40.7 | Helped |
| Add pair-wise matching to inter-frame attention (ablation) | Proposed method with p2c and c2c/c2p attention · YouTube-VIS-2019 val | AP: 40.7 -> 41.3 | No clear effect |
| Increase reference frames from 1 to 3 (ablation) | Proposed method · YouTube-VIS-2019 val | AP: 39.7 -> 41.3 | Helped |
| Increase reference frames from 3 to 4 (ablation) | Proposed method · YouTube-VIS-2019 val | AP: 41.3 -> 41.3 | No clear effect |
| Use 2 alternate attention layers rather than 1, 3, or 4 (ablation) | Proposed method · YouTube-VIS-2019 val | AP: 40.1 -> 41.3; 40.8; 40.2 | Helped |
| Vary the number of instance slots from 10 to 25 (ablation) | Proposed method · YouTube-VIS-2019 val | AP: 41.3; 41.2; 41.1; 41.3 | No clear effect |
Closest papers by meaning
- InstanceFormer: An Online Video Instance Segmentation Framework (AAAI 2023 · similarity 0.92)
- Spatial Feature Calibration and Temporal Fusion for Effective One-Stage Video Instance Segmentation (CVPR 2021 · similarity 0.90)
- Robust and Consistent Online Video Instance Segmentation via Instance Mask Propagation (AAAI 2025 · similarity 0.88)
- SyncVIS: Synchronized Video Instance Segmentation (NeurIPS 2024 · similarity 0.88)
- Minimizing Labeled, Maximizing Unlabeled: An Image-Driven Approach for Video Instance Segmentation (CVPR 2025 · similarity 0.88)
- Aligning Instance Brownian Bridge with Texts for Open-Vocabulary Video Instance Segmentation (AAAI 2025 · similarity 0.86)
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