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Research map / Detection and segmentation / CNN features

Video Object Detection with Locally-Weighted Deformable Neighbors

AAAI 2019 · Detection and segmentation › CNN features · approach: Context for hard detection conditions · 51 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add naive memory propagation between keyframes (ablation)LWDN · ImageNet VID valmAP (%): 73.0 -> 75.5Helped
add quality-aware memory aggregation (ablation)LWDN · ImageNet VID valmAP (%): 75.5 -> 76.3Helped
increase LWDN kernel size from 3 to 9 (ablation)LWDN · ImageNet VID valmAP (%): 74.7 -> 76.3Helped
increase LWDN kernel size from 9 to 11 (ablation)LWDN · ImageNet VID valmAP (%): 76.3 -> 75.7Hurt
set training keyframe interval to 10 instead of 4 (ablation)LWDN · ImageNet VID valmAP (%): 74.7 -> 76.3Helped
lengthen training keyframe interval from 10 to 12 (ablation)LWDN · ImageNet VID valmAP (%): 76.3 -> 75.4Hurt
lengthen testing keyframe interval from 6 to 14 (ablation)LWDN · ImageNet VID valmAP (%): 76.7 -> 75.2Hurt
raise memory gate g from 0.0 to 1.0 (ablation)LWDN · ImageNet VID valmAP (%): 75.2 -> 76.3Helped
replace per-frame R-FCN with LWDN video detectionR-FCN ResNet-101 · ImageNet VID valmAP (%): 73.6 -> 76.3Helped

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