Invention Application
- Patent Title: TECHNIQUES TO IDENTIFY DATA USED TO TRAIN ONE OR MORE NEURAL NETWORKS
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Application No.: US17188397Application Date: 2021-03-01
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Publication No.: US20220284232A1Publication Date: 2022-09-08
- Inventor: Hongxu Yin , Arun Mallya , Arash Vahdat , Jose Manuel Alvarez Lopez , Jan Kautz , Pavlo Molchanov
- Applicant: NVIDIA Corporation
- Applicant Address: US CA Santa Clara
- Assignee: NVIDIA Corporation
- Current Assignee: NVIDIA Corporation
- Current Assignee Address: US CA Santa Clara
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06K9/66
Abstract:
Apparatuses, systems, and techniques to identify one or more images used to train one or more neural networks. In at least one embodiment, one or more images used to train one or more neural networks are identified, based on, for example, one or more labels of one or more objects within the one or more images.
Information query
