Researchers at Meta AI Create ‘OMNI3D’ Dataset For Object Recognition And ‘Cube R-CNN’ Model That Generalizes To Unseen Images

Computer vision has long struggled to comprehend objects and their characteristics from a single image, a topic that has applications in robotics, assistive technology, and AR/VR. The problem of 3D object recognition frames new challenges related to the perception of things in 3D from 2D visual inputs. Large-scale datasets have helped 2D object identification make significant strides in predicting and localizing items on the 2D picture grid in the recent decade. On the other hand, the world is three-dimensionally built …

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