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.
Scaling up visual and vision- language representation learning with noisy text su- pervision
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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.