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Projecting Your View Attentively: Monocular Road Scene Layout Estimation via Cross-View Transformation

CVPR 2021 · 3D vision › 3D generation · approach: 3D perception for autonomous driving · 88 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add MLP view projection to the vanilla encoder-decoder (ablation)Proposed framework · KITTI 3D ObjectmIOU (%): 22.31 -> 27.42Helped
Add cross-view correlation attention (ablation)Proposed framework · KITTI 3D ObjectmIOU (%): 27.42 -> 35.03Helped
Add cycle structure and cycle loss (ablation)Proposed framework · KITTI 3D ObjectmIOU (%): 35.03 -> 35.54Helped
Add feature selection to the cross-view transformer (ablation)Proposed framework · KITTI 3D ObjectmIOU (%): 35.54 -> 38.79Helped
Use original features X as key and cycled features X′′ as value in CVT (ablation)Cross-view transformer · KITTI 3D ObjectmIOU (%): 37.58 -> 38.79Helped
Use projected features X′ as both key and value instead of X and X′′ (ablation)Cross-view transformer · KITTI 3D ObjectmIOU (%): 38.79 -> 25.43Hurt
Use cycled features X′′ as both key and value instead of X and X′′ (ablation)Cross-view transformer · KITTI 3D ObjectmIOU (%): 38.79 -> 27.71Hurt
Use original features X as both key and value instead of X and X′′ (ablation)Cross-view transformer · KITTI 3D ObjectmIOU (%): 38.79 -> 35.13Hurt
Replace the context-aware discriminator with standard PatchGAN (ablation)Proposed generator · Argoverse VehiclemIOU (%): 48.48 -> 47.07Hurt
Replace the context-aware discriminator with standard PatchGAN (ablation)Proposed generator · Argoverse VehiclemAP (%): 64.04 -> 62.33Hurt
Add the context-aware discriminator instead of using no discriminator (ablation)Proposed generator · Argoverse VehiclemIOU (%): 48.10 -> 48.48Helped
Add the context-aware discriminator instead of using no discriminator (ablation)Proposed generator · Argoverse VehiclemAP (%): 61.94 -> 64.04Helped

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