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.
V oxel r-cnn: To- wards high performance voxel-based 3d object detec- tion
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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.