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CRAFT: Camera-Radar 3D Object Detection with Spatio-Contextual Fusion Transformer

AAAI 2023 · Detection and segmentation › 3D detection and driving · approach: Camera-radar fusion detection · 122 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add camera-radar proposal-level fusion with Soft Polar Association and SCFTCRAFT-I · nuScenes testmAP: 33.8 -> 41.1Helped
Add camera-radar proposal-level fusion with Soft Polar Association and SCFTCRAFT-I · nuScenes valmAP: 32.2 -> 41.1Helped
Use attention-based transformer fusion rather than radar-only fusion (ablation)CRAFT-I, nuScenes val car · nuScenes val, carmean AP: 61.8 -> 65.1Helped
Use attention-based transformer fusion rather than feature concatenation (ablation)CRAFT-I, nuScenes val car · nuScenes val, carmean AP: 63.1 -> 65.1Helped
Use Soft Polar Association instead of RoIPool (ablation)CRAFT, nuScenes val car · nuScenes val, carmean AP: 58.7 -> 65.1Helped
Use Soft Polar Association instead of Ball Query (ablation)CRAFT, nuScenes val car · nuScenes val, carmean AP: 64.3 -> 65.1Helped
Use polar rather than Cartesian coordinates for association and regression (ablation)CRAFT, nuScenes val car · nuScenes val, carmean AP: 58.6 -> 65.1Helped
Add location-offset prediction (ablation)CRAFT, nuScenes val car · nuScenes val, carmAP: 53.1 -> 69.6Helped
Add velocity prediction (ablation)CRAFT, nuScenes val car · nuScenes val, carmAP: 65.4 -> 69.6Helped
Add dimension prediction head (ablation)CRAFT, nuScenes val car · nuScenes val, carmAP: 69.6 -> 65.1Hurt
Add rotation prediction head (ablation)CRAFT, nuScenes val car · nuScenes val, carmAP: 69.6 -> 65.7Hurt

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