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Domain Aaptation for 3D Object Detection

2021

  • Learning Transferable Features for Point Cloud Detection via 3D Contrastive Co-training (NeurIPS 21)

  • ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection (CVPR 21)

  • SRDAN: Scale-aware and Range-aware Domain Adaptation Network for Cross-dataset 3D Object Detection (CVPR 21)

  • SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation (ICCV 21)

  • Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency (ICCV 21)

  • PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation (ICCV 21)

  • FAST3D: Flow-Aware Self-Training for 3D Object Detectors (BMVC 21)

  • What My Motion tells me about Your Pose: A Self-Supervised Monocular 3D Vehicle Detector (ICRA 21)

  • Adversarial Training on Point Clouds for Sim-to-Real 3D Object Detection (RA-L 21)

  • 3D for Free: Crossmodal Transfer Learning using HD Maps (arXiv 21)

  • Uncertainty-aware Mean Teacher for Source-free Unsupervised Domain Adaptive 3D Object Detection (arXiv 21)

  • Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection (arXiv 21)

  • See Eye to Eye: A Lidar-Agnostic 3D Detection Framework for Unsupervised Multi-Target Domain Adaptation (arXiv 21)

  • Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object Detection (arXiv 21)

  • Cycle and Semantic Consistent Adversarial Domain Adaptation for Reducing Simulation-to-Real Domain Shift in LiDAR Bird’s Eye View (arXiv 21)

2020

  • Train in Germany, Test in The USA: Making 3D Object Detectors Generalize (CVPR 20)

  • SF-UDA3D: Source-Free Unsupervised Domain Adaptation for LiDAR-Based 3D Object Detection (3DV 20)

2019

  • Transferable Semi-Supervised 3D Object Detection From RGB-D Data (ICCV 19)

  • Range Adaptation for 3D Object Detection in LiDAR (ICCVW 19)

  • Domain Adaptation for Vehicle Detection from Bird’s Eye View LiDAR Point Cloud Data (ICCVW 19)

  • Cross-Sensor Deep Domain Adaptation for LiDAR Detection and Segmentation (IV 19)