CN115759195A - 基于一致性损失的神经网络训练 - Google Patents

基于一致性损失的神经网络训练 Download PDF

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CN115759195A
CN115759195A CN202211062950.8A CN202211062950A CN115759195A CN 115759195 A CN115759195 A CN 115759195A CN 202211062950 A CN202211062950 A CN 202211062950A CN 115759195 A CN115759195 A CN 115759195A
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O·奥雷菲
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Synaptics Inc
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Synaptics Inc
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    • G06N3/00—Computing arrangements based on biological models
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    • G06N3/08—Learning methods
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/70—Denoising; Smoothing
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
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    • G—PHYSICS
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    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20212—Image combination
    • G06T2207/20224—Image subtraction

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CN202211062950.8A 2021-09-01 2022-09-01 基于一致性损失的神经网络训练 Pending CN115759195A (zh)

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US17/464,036 US12505344B2 (en) 2021-09-01 2021-09-01 Neural network training based on consistency loss
US17/464036 2021-09-01

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CN115759195A true CN115759195A (zh) 2023-03-07

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US (1) US12505344B2 (enExample)
JP (1) JP2023035928A (enExample)
KR (1) KR20230033622A (enExample)
CN (1) CN115759195A (enExample)

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US12327277B2 (en) 2021-04-12 2025-06-10 Snap Inc. Home based augmented reality shopping
US12412205B2 (en) 2021-12-30 2025-09-09 Snap Inc. Method, system, and medium for augmented reality product recommendations
US11928783B2 (en) * 2021-12-30 2024-03-12 Snap Inc. AR position and orientation along a plane
US12499626B2 (en) 2021-12-30 2025-12-16 Snap Inc. AR item placement in a video
JP7700186B2 (ja) 2023-08-29 2025-06-30 キヤノン株式会社 情報処理装置、学習装置、及びプログラム
WO2025230370A1 (ko) * 2024-04-29 2025-11-06 삼성전자 주식회사 신경망 모델을 사용하여 이미지를 처리하기 위한 방법 및 장치
CN119850751B (zh) * 2025-01-08 2025-08-12 北京中科思创云智能科技有限公司 基于海洋环境的几何一致性无监督双目标定方法

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US10572979B2 (en) * 2017-04-06 2020-02-25 Pixar Denoising Monte Carlo renderings using machine learning with importance sampling
US10769761B2 (en) * 2017-06-30 2020-09-08 Kla-Tencor Corp. Generating high resolution images from low resolution images for semiconductor applications
WO2021230708A1 (en) * 2020-05-15 2021-11-18 Samsung Electronics Co., Ltd. Image processing method, electronic device and readable storage medium

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US12505344B2 (en) 2025-12-23
US20230063209A1 (en) 2023-03-02
KR20230033622A (ko) 2023-03-08

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