A single-stage image-based detector that, trained with pseudo boxes from SAM segments and CLIP features, detects and classifies arbitrary indoor objects in 3D at 0.3 seconds per scene.
Imov3d: Learn- ing open-vocabulary point clouds 3d object detection from only 2d images
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OpenM3D: Open Vocabulary Multi-view Indoor 3D Object Detection without Human Annotations
A single-stage image-based detector that, trained with pseudo boxes from SAM segments and CLIP features, detects and classifies arbitrary indoor objects in 3D at 0.3 seconds per scene.