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31.
公开(公告)号:US20210150757A1
公开(公告)日:2021-05-20
申请号:US16690015
申请日:2019-11-20
Applicant: NVIDIA Corporation
Inventor: Siva Karthik Mustikovela , Varun Jampani , Shalini De Mello , Sifei Liu , Umar Iqbal , Jan Kautz
Abstract: Apparatuses, systems, and techniques to identify orientations of objects within images. In at least one embodiment, one or more neural networks are trained to identify an orientations of one or more objects based, at least in part, on one or more characteristics of the object other than the object's orientation.
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公开(公告)号:US20210133990A1
公开(公告)日:2021-05-06
申请号:US16675120
申请日:2019-11-05
Applicant: NVIDIA Corporation
Inventor: Benjamin David Eckart , Wentao Yuan , Varun Jampani , Kihwan Kim , Jan Kautz
Abstract: Apparatuses, systems, and techniques to generate a 3D model of an object. In at least one embodiment, a 3D model of an object is generated by one or more neural networks, based on a plurality of images of the object.
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公开(公告)号:US20200302612A1
公开(公告)日:2020-09-24
申请号:US16825192
申请日:2020-03-20
Applicant: Nvidia Corporation
Inventor: David Jesus Acuna Marrero , Towaki Takikawa , Varun Jampani , Sanja Fidler
Abstract: Various types of image analysis benefit from a multi-stream architecture that allows the analysis to consider shape data. A shape stream can process image data in parallel with a primary stream, where data from layers of a network in the primary stream is provided as input to a network of the shape stream. The shape data can be fused with the primary analysis data to produce more accurate output, such as to produce accurate boundary information when the shape data is used with semantic segmentation data produced by the primary stream. A gate structure can be used to connect the intermediate layers of the primary and shape streams, using higher level activations to gate lower level activations in the shape stream. Such a gate structure can help focus the shape stream on the relevant information and reduces any additional weight of the shape stream.
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