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Hybrid Instance-Aware Temporal Fusion for Online Video Instance Segmentation

AAAI 2022 · Video › Video segmentation and tracking · approach: Mask propagation for unsupervised video segmentation · 12 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use hybrid instance-aware temporal fusion instead of existing online VIS approachesOnline video instance segmentation · YouTube-VIS-2019 valAP: 41.3 vs 36.6Helped
Use hybrid instance-aware temporal fusion instead of the strongest listed ResNet-50 baselineVideo instance segmentation · YouTube-VIS-2021 valAP: 34.2 -> 35.8Helped
Disable all inter-frame attention (ablation)Proposed method · YouTube-VIS-2019 valAP: 41.3 -> 36.9Hurt
Use only inter-frame p2c attention instead of the full attention design (ablation)Proposed method · YouTube-VIS-2019 valAP: 41.3 -> 38.8Hurt
Add c2c/c2p attention to p2c attention (ablation)Proposed method · YouTube-VIS-2019 valAP: 38.8 -> 40.7Helped
Add pair-wise matching to inter-frame attention (ablation)Proposed method with p2c and c2c/c2p attention · YouTube-VIS-2019 valAP: 40.7 -> 41.3No clear effect
Increase reference frames from 1 to 3 (ablation)Proposed method · YouTube-VIS-2019 valAP: 39.7 -> 41.3Helped
Increase reference frames from 3 to 4 (ablation)Proposed method · YouTube-VIS-2019 valAP: 41.3 -> 41.3No clear effect
Use 2 alternate attention layers rather than 1, 3, or 4 (ablation)Proposed method · YouTube-VIS-2019 valAP: 40.1 -> 41.3; 40.8; 40.2Helped
Vary the number of instance slots from 10 to 25 (ablation)Proposed method · YouTube-VIS-2019 valAP: 41.3; 41.2; 41.1; 41.3No clear effect

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