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ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving

CVPR 2019 · 3D vision › 3D generation · approach: 3D perception for autonomous driving · 195 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add mask pooling (ablation)3D-RCNN* · ApolloCar3D testA3DP-Abs mean: 16.44 -> 16.73Helped
add mask pooling (ablation)3D-RCNN* · ApolloCar3D testA3DP-Rel mean: 10.79 -> 10.10Hurt
add offset flow alongside mask pooling (ablation)3D-RCNN* · ApolloCar3D testA3DP-Abs mean: 16.44 -> 17.52Helped
add offset flow alongside mask pooling (ablation)3D-RCNN* · ApolloCar3D testA3DP-Rel mean: 10.79 -> 13.66Helped
use predicted Mask R-CNN masks instead of ground-truth masks (ablation)3D-RCNN* + MP + OF · ApolloCar3D testA3DP-Abs mean: 17.52 -> 15.15Hurt
use predicted Mask R-CNN masks instead of ground-truth masks (ablation)3D-RCNN* + MP + OF · ApolloCar3D testA3DP-Rel mean: 13.66 -> 11.49Hurt
add context-aware solver to use neighboring-car constraints for insufficient keypoints (ablation)DeepMANTA* · ApolloCar3D testA3DP-Abs mean: 20.10 -> 21.57Helped
add context-aware solver to use neighboring-car constraints for insufficient keypoints (ablation)DeepMANTA* · ApolloCar3D testA3DP-Rel mean: 16.04 -> 17.52Helped
use predicted Mask R-CNN masks instead of ground-truth masks (ablation)DeepMANTA* + CA-solver · ApolloCar3D testA3DP-Abs mean: 21.57 -> 20.39Hurt
use predicted Mask R-CNN masks instead of ground-truth masks (ablation)DeepMANTA* + CA-solver · ApolloCar3D testA3DP-Rel mean: 17.52 -> 16.53Hurt

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