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Fast Boosting Based Detection Using Scale Invariant Multimodal Multiresolution Filtered Features

CVPR 2017 · Detection and segmentation › CNN features · approach: Context for hard detection conditions · 22 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add theoretical scale correction to color features (ablation)MM-MRFC · Caltech-USA reasonable test, standard training setmiss rate: 24.46 -> 22.84Helped
add empirical scale correction to color features (ablation)MM-MRFC · Caltech-USA reasonable test, standard training setmiss rate: 24.46 -> 22.69Helped
add 2D spatial context (ablation)MM-MRFC · Caltech-USA reasonable test, standard training setmiss rate: 22.84 -> 20.80Helped
add 2D symmetry context (ablation)MM-MRFC · Caltech-USA reasonable test, standard training setmiss rate: 20.80 -> 18.26Helped
add SDt motion channels (ablation)MM-MRFC · Caltech-USA reasonable test, standard training setmiss rate: 18.26 -> 17.29Helped
apply multiresolution filtering to SDt motion channels (ablation)MM-MRFC · Caltech-USA reasonable test, standard training setmiss rate: 17.29 -> 16.11Helped
add scale correction (ablation)MRFC · KITTI validation, colorAP: 62.84 -> 67.14; 59.98 -> 61.45; 51.10 -> 52.76Helped
add 2D spatial context (ablation)MM-MRFC · KITTI validation, colorAP: 67.14 -> 69.58; 61.45 -> 63.83; 52.76 -> 54.83Helped
add 2D symmetry context (ablation)MM-MRFC · KITTI validation, colorAP: 69.58 -> 70.28; 63.83 -> 64.75; 54.83 -> 55.66Helped
add 3D geometric context after 3D spatial context (ablation)MM-MRFC with stereo depth · KITTI validationAP: 77.88 -> 77.97; 70.30 -> 70.61; 60.63 -> 61.47Mixed
add multiresolution filtered channels after stereo 3D context (ablation)MM-MRFC with stereo depth · KITTI validationAP: 77.97 -> 82.53; 70.61 -> 74.82; 61.47 -> 65.95Helped
add 3D geometric context after 3D spatial context (ablation)MM-MRFC with LIDAR depth · KITTI validationAP: 77.88 -> 79.92; 70.93 -> 72.48; 61.91 -> 63.13Helped

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