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ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object Detection

AAAI 2020 · Detection and segmentation › 3D detection and driving · approach: Unified LiDAR 3D detection · 77 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use adaptive zooming to normalize instance resolution and adjust camera intrinsics (ablation)ZoomNet · KITTI validation, ModerateAP3d (IoU=0.7): 40.39 -> 50.47Helped
Add pixel-wise part locations (ablation)ZoomNet · KITTI validation, ModerateAP3d (IoU=0.7): 40.87 -> 50.47Helped
Add a 3D fitting score to the detection confidence (ablation)ZoomNet · KITTI validation, ModerateAP3d (IoU=0.7): 46.67 -> 50.47Helped
Add pixel-wise part locations (ablation)ZoomNet · KITTI validation, occlusion level 2, HardAP3d (IoU=0.7): 5.56 -> 9.76Helped
Add adaptive zooming (ablation)ZoomNet · KITTI validation, HardAP3d (IoU=0.7): 34.20 -> 43.63Helped
Add pixel-wise part locations (ablation)ZoomNet · KITTI validation, HardAP3d (IoU=0.7): 34.51 -> 43.63Helped
Add a 3D fitting score (ablation)ZoomNet · KITTI validation, HardAP3d (IoU=0.7): 40.88 -> 43.63Helped
Add both part locations and 3D fitting score (ablation)ZoomNet · KITTI validation, ModerateAP3d (IoU=0.7): 38.33 -> 50.47Helped
Replace image-level disparity with instance-wise disparity estimationZoomNet versus Pseudo-LiDAR · KITTI validation, HardAP3d (IoU=0.5): 61.20 -> 70.47Helped
Use ZoomNet instead of Stereo R-CNNKITTI test, Moderate · KITTI test, ModerateAP3d (IoU=0.7): 30.23 -> 38.64Helped

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