MonoSAOD: Monocular 3D Object Detection with Sparsely Annotated Label

ArXi:2604.01646v1 Announce Type: new Monocular 3D object detection has achieved impressive performance on densely annotated datasets. However, it struggles when only a fraction of objects are labeled due to the high cost of 3D annotation. This sparsely annotated setting is common in real-world scenarios where annotating every object is impractical. To address this, we propose a novel framework for sparsely annotated monocular 3D object detection with two key modules.