发明授权
- 专利标题: Methods and apparatus for high-fidelity vision tasks using deep neural networks
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申请号: US17132810申请日: 2020-12-23
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公开(公告)号: US12125212B2公开(公告)日: 2024-10-22
- 发明人: Anthony Rhodes , Ke Ding , Manan Goel
- 申请人: Intel Corporation
- 申请人地址: US CA Santa Clara
- 专利权人: INTEL CORPORATION
- 当前专利权人: INTEL CORPORATION
- 当前专利权人地址: US CA Santa Clara
- 代理机构: Hanley, Flight & Zimmerman, LLC
- 主分类号: G06T7/12
- IPC分类号: G06T7/12 ; G06T7/33 ; G06V10/44 ; G06V10/764
摘要:
Methods, systems, and apparatus for high-fidelity vision tasks using deep neural networks are disclosed. An example apparatus includes a feature extractor to extract low-level features and edge-enhanced features of an input image processed using a convolutional neural network, an eidetic memory block generator to generate an eidetic memory block using the extracted low-level features or the extracted edge-enhanced features, and an interactive segmentation network to perform image segmentation using the eidetic memory block, the eidetic memory block used to propagate domain-persistent features through the segmentation network.
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