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Frame-Event Alignment and Fusion Network for High Frame Rate Tracking

CVPR 2023 · Video › Video segmentation and tracking · approach: Event-based video reconstruction · 71 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
combine frame and event modalities with event-guided alignment and cross-correlation fusionAFNet · FE240hzRSR: 55.6 -> 58.4Helped
combine frame and event modalities with event-guided alignment and cross-correlation fusionAFNet · VisEventRPR: 58.9 -> 59.3Helped
use only conventional frames instead of both modalities (ablation)AFNet · FE240hzRSR: 58.4 -> 16.2Hurt
use only aggregated events instead of both modalities (ablation)AFNet · FE240hzRSR: 58.4 -> 43.6Hurt
add event-guided cross-modality alignment (ablation)AFNet · FE240hzRSR: 55.1 -> 58.4Helped
add the style transformer to ECA (ablation)AFNet · FE240hzRSR: 55.8 -> 58.4Helped
add deformable alignment to ECA (ablation)AFNet · FE240hzRSR: 55.5 -> 58.4Helped
use cross-correlation fusion instead of concatenation (ablation)AFNet · FE240hzRSR: 55.9 -> 58.4Helped
add the dynamic filter to cross-correlation fusion (ablation)AFNet · FE240hzRSR: 56.2 -> 58.4Helped
vary event frame rate from 40 Hz to 240 Hz (ablation)AFNet · FE240hzRSR: 56.1; 56.5; 58.0; 57.4; 57.9; 58.4Mixed
accumulate events since the last event frame rather than the last intensity frame (ablation)AFNet · FE240hzRSR: 58.4 -> 54.9Hurt

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