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Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video

CVPR 2019 · Video › Video segmentation and tracking · approach: Video semantic and panoptic segmentation · 143 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add the ResNet-101 reference branch and warped keyframe features to DeepLab-18 (ablation)Accel-18 · Cityscapes, keyframe interval 5, max offsetmIoU: 57.7 -> 69.2Helped
Add the update branch to the reference-only model (ablation)Accel-18 · Cityscapes, keyframe interval 5, max offsetmIoU: 62.4 -> 69.2Helped
Add the ResNet-101 reference branch and warped keyframe features to DeepLab-34 (ablation)Accel-34 · Cityscapes, keyframe interval 5, max offsetmIoU: 62.8 -> 69.7Helped
Add the update branch to the reference-only model (ablation)Accel-34 · Cityscapes, keyframe interval 5, max offsetmIoU: 62.4 -> 69.7Helped
Add the ResNet-101 reference branch and warped keyframe features to DeepLab-50 (ablation)Accel-50 · Cityscapes, keyframe interval 5, max offsetmIoU: 70.1 -> 73.0Helped
Add the update branch to the reference-only model (ablation)Accel-50 · Cityscapes, keyframe interval 5, max offsetmIoU: 62.4 -> 73.0Helped
Add the reference branch to DeepLab-101 (ablation)Accel-101 · Cityscapes, keyframe interval 5, max offsetmIoU: 75.2 -> 75.5Helped
Add the update branch to the reference-only model (ablation)Accel-101 · Cityscapes, keyframe interval 5, max offsetmIoU: 62.4 -> 75.5Helped
Use feature fusion instead of score fusion (ablation)Accel-18 · Cityscapes, keyframe interval 5, max offsetmIoU: 69.2 -> 69.5Helped
Use score fusion instead of feature fusion (ablation)Accel-18 · Cityscapes, keyframe interval 5, max offsetinference time: 0.46 -> 0.44Helped
Use score fusion instead of feature fusion (ablation)Accel-18 · Cityscapes, keyframe interval 5, max offsetmIoU: 69.5 -> 69.2Hurt
Use smaller intermediate channel dimensions (512 or 1024 rather than 2048) (ablation)Accel · Segmentation experimentssegmentation accuracyHurt

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