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公开(公告)号:US20230229894A1
公开(公告)日:2023-07-20
申请号:US18002195
申请日:2021-06-25
发明人: Yongjo AHN , Jongseok LEE
IPC分类号: G06N3/0495 , H04N19/42 , G06N3/08
CPC分类号: G06N3/0495 , H04N19/42 , G06N3/08
摘要: A neural-network-based signal processing method and apparatus according to the present invention may: receive a bitstream including information about a neural network model, wherein the bitstream includes at least one neural network access unit; obtain information about the at least one neural network access unit from the bitstream; and reconstruct the neural network model on the basis of the information about the at least one neural network access unit.
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公开(公告)号:US20240056575A1
公开(公告)日:2024-02-15
申请号:US18259055
申请日:2021-12-22
发明人: Yongjo AHN , Jongseok LEE
IPC分类号: H04N19/124 , G06V10/771 , G06V10/82
CPC分类号: H04N19/124 , G06V10/771 , G06V10/82
摘要: A deep learning-based signal processing method according to the present invention may: obtain a quantized feature map from a bitstream; reconstruct the feature map by performing inverse quantization on the quantized feature map; and synthesize the reconstructed feature map on the basis of a neural network.
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公开(公告)号:US20230421764A1
公开(公告)日:2023-12-28
申请号:US18253381
申请日:2021-11-18
发明人: Yongjo AHN , Jongseok LEE
IPC分类号: H04N19/124 , G06V10/74 , G06V10/764 , G06V10/77 , G06V10/82 , H04N19/136 , H04N19/42
CPC分类号: H04N19/124 , G06V10/761 , G06V10/764 , G06V10/7715 , G06V10/82 , H04N19/136 , H04N19/42
摘要: A neural network-based signal processing method and device according to the present invention generates a feature map by means of a multilayer neural network comprising a plurality of neural networks, and performs quantization for the feature map, the quantization performed on the basis of the structure of the multilayer neural network or the attribute of the feature map.
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