CLLAP generates LiDAR-based pseudo-radar data and applies dual-modality contrastive pretraining to boost radar-camera fusion models for 3D detection, showing gains on NuScenes and Lyft datasets.
Contrastalign: Toward robust bev feature alignment via con- trastive learning for multi-modal 3d object detection
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CLLAP: Contrastive Learning-based LiDAR-Augmented Pretraining for Enhanced Radar-Camera Fusion
CLLAP generates LiDAR-based pseudo-radar data and applies dual-modality contrastive pretraining to boost radar-camera fusion models for 3D detection, showing gains on NuScenes and Lyft datasets.