Bi3D++: Hybrid Bi-domain Active Learning for Cross-domain 3D Object Detection
A Bi-domain active learning approach which selects samples from both source and target domain to solve cross-domain 3D object detection.
jiakang-yuan
A Bi-domain active learning approach which selects samples from both source and target domain to solve cross-domain 3D object detection.
Exploit the potential of Mamba architecture on 3D scene-level perception for the first time.
A pseudo-label-based test-time adaptive 3D object detection method exploring a new task of test-time domain adaptive 3D detection.
A unified baseline to tackle multi-dataset 3D object detection from data-level and semantic-level.
A Bi-domain active learning approach which selects samples from both source and target domain to solve cross-domain 3D object detection.