JP7695954B2 - ニューラルネットワークの重みパラメーターを復号化するデコーダー、エンコーダー、方法、及び確率推定パラメーターを使用する符号化表現 - Google Patents
ニューラルネットワークの重みパラメーターを復号化するデコーダー、エンコーダー、方法、及び確率推定パラメーターを使用する符号化表現 Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
- G06N3/0455—Auto-encoder networks; Encoder-decoder networks
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/211—Selection of the most significant subset of features
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
- G06F18/2193—Validation; Performance evaluation; Active pattern learning techniques based on specific statistical tests
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/047—Probabilistic or stochastic networks
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- G06N3/00—Computing arrangements based on biological models
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- G06N3/0499—Feedforward networks
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- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
- G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
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- G06—COMPUTING OR CALCULATING; COUNTING
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- G06N7/00—Computing arrangements based on specific mathematical models
- G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
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- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
- H03M7/00—Conversion of a code where information is represented by a given sequence or number of digits to a code where the same, similar or subset of information is represented by a different sequence or number of digits
- H03M7/30—Compression; Expansion; Suppression of unnecessary data, e.g. redundancy reduction
- H03M7/40—Conversion to or from variable length codes, e.g. Shannon-Fano code, Huffman code, Morse code
- H03M7/4006—Conversion to or from arithmetic code
- H03M7/4012—Binary arithmetic codes
- H03M7/4018—Context adapative binary arithmetic codes [CABAC]
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- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
- H03M7/00—Conversion of a code where information is represented by a given sequence or number of digits to a code where the same, similar or subset of information is represented by a different sequence or number of digits
- H03M7/30—Compression; Expansion; Suppression of unnecessary data, e.g. redundancy reduction
- H03M7/70—Type of the data to be coded, other than image and sound
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2025030998A JP7817477B2 (ja) | 2020-04-14 | 2025-02-28 | ニューラルネットワークの重みパラメーターを復号化するデコーダー、エンコーダー、方法、及び確率推定パラメーターを使用する符号化表現 |
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP20169498 | 2020-04-14 | ||
| EP20169498.1 | 2020-04-14 | ||
| PCT/EP2021/059594 WO2021209470A1 (en) | 2020-04-14 | 2021-04-13 | Decoder for decoding weight parameters of a neural network, encoder, methods and encoded representation using probability estimation parameters |
Related Child Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2025030998A Division JP7817477B2 (ja) | 2020-04-14 | 2025-02-28 | ニューラルネットワークの重みパラメーターを復号化するデコーダー、エンコーダー、方法、及び確率推定パラメーターを使用する符号化表現 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JP2023522887A JP2023522887A (ja) | 2023-06-01 |
| JP7695954B2 true JP7695954B2 (ja) | 2025-06-19 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2022562944A Active JP7695954B2 (ja) | 2020-04-14 | 2021-04-13 | ニューラルネットワークの重みパラメーターを復号化するデコーダー、エンコーダー、方法、及び確率推定パラメーターを使用する符号化表現 |
| JP2025030998A Active JP7817477B2 (ja) | 2020-04-14 | 2025-02-28 | ニューラルネットワークの重みパラメーターを復号化するデコーダー、エンコーダー、方法、及び確率推定パラメーターを使用する符号化表現 |
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| Application Number | Title | Priority Date | Filing Date |
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| JP2025030998A Active JP7817477B2 (ja) | 2020-04-14 | 2025-02-28 | ニューラルネットワークの重みパラメーターを復号化するデコーダー、エンコーダー、方法、及び確率推定パラメーターを使用する符号化表現 |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US20230141029A1 (https=) |
| EP (1) | EP4136756A1 (https=) |
| JP (2) | JP7695954B2 (https=) |
| KR (1) | KR20230005868A (https=) |
| CN (1) | CN115699585A (https=) |
| WO (1) | WO2021209470A1 (https=) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115699020A (zh) * | 2020-06-05 | 2023-02-03 | 华为技术有限公司 | 用于神经网络的量化 |
| US20230050279A1 (en) * | 2021-08-12 | 2023-02-16 | Taiwan Semiconductor Manufacturing Company, Ltd. | Integrated circuit and method of operating same |
| CN121488473A (zh) * | 2023-06-30 | 2026-02-06 | 抖音视界有限公司 | 用于可视数据处理的方法、装置和介质 |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2016199330A1 (ja) | 2015-06-12 | 2016-12-15 | パナソニックIpマネジメント株式会社 | 画像符号化方法、画像復号方法、画像符号化装置および画像復号装置 |
| WO2020008075A1 (en) | 2018-07-06 | 2020-01-09 | Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. | Arithmetic encoders, arithmetic decoders, video encoder, video decoder, methods for encoding, methods for decoding and computer program |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9088796B2 (en) * | 2011-11-07 | 2015-07-21 | Sharp Kabushiki Kaisha | Video decoder with enhanced CABAC decoding |
| JP6159240B2 (ja) * | 2013-12-09 | 2017-07-05 | 日本電信電話株式会社 | 二値算術符号化装置、二値算術符号化方法及び二値算術符号化プログラム |
| US10225555B2 (en) * | 2015-05-19 | 2019-03-05 | Mediatek Inc. | Method and apparatus for multi-table based context adaptive binary arithmetic coding |
| EP3562162A1 (en) * | 2018-04-27 | 2019-10-30 | InterDigital VC Holdings, Inc. | Method and apparatus for video encoding and decoding based on neural network implementation of cabac |
| JP2020022145A (ja) * | 2018-08-03 | 2020-02-06 | 日本放送協会 | 符号化装置、復号装置、学習装置及びプログラム |
-
2021
- 2021-04-13 CN CN202180042614.4A patent/CN115699585A/zh active Pending
- 2021-04-13 KR KR1020227039550A patent/KR20230005868A/ko active Pending
- 2021-04-13 JP JP2022562944A patent/JP7695954B2/ja active Active
- 2021-04-13 WO PCT/EP2021/059594 patent/WO2021209470A1/en not_active Ceased
- 2021-04-13 EP EP21717116.4A patent/EP4136756A1/en active Pending
-
2022
- 2022-10-13 US US18/046,227 patent/US20230141029A1/en active Pending
-
2025
- 2025-02-28 JP JP2025030998A patent/JP7817477B2/ja active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2016199330A1 (ja) | 2015-06-12 | 2016-12-15 | パナソニックIpマネジメント株式会社 | 画像符号化方法、画像復号方法、画像符号化装置および画像復号装置 |
| WO2020008075A1 (en) | 2018-07-06 | 2020-01-09 | Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. | Arithmetic encoders, arithmetic decoders, video encoder, video decoder, methods for encoding, methods for decoding and computer program |
| JP2021532698A (ja) | 2018-07-06 | 2021-11-25 | フラウンホーファー−ゲゼルシャフト・ツール・フェルデルング・デル・アンゲヴァンテン・フォルシュング・アインゲトラーゲネル・フェライン | 算術エンコーダ、算術デコーダ、ビデオエンコーダ、ビデオデコーダ、符号化方法、復号方法、およびコンピュータプログラム |
Non-Patent Citations (2)
| Title |
|---|
| Ming Li et al.,AHG17 & AHG9: Comments on carriage of coding tool parameters in Adaptation Parameter Set [online],JVET-N0065(JVET-N0065.docx), [2024年1月12日検索],インターネット <URL: https://jvet-experts.org/doc_end_user/documents/14_Geneva/wg11/JVET-N0065-v1.zip>,2019年03月11日 |
| Simon Wiedemann et al.,DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks [online],Published in: IEEE Journal of Selected Topics in Signal Processing ( Volume: 14 , Issue: 4, May 2020), [2024年1月5日検索],2020年01月27日,pp.700-714,インターネット <URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8970294> |
Also Published As
| Publication number | Publication date |
|---|---|
| JP2023522887A (ja) | 2023-06-01 |
| EP4136756A1 (en) | 2023-02-22 |
| JP2025081713A (ja) | 2025-05-27 |
| WO2021209470A1 (en) | 2021-10-21 |
| US20230141029A1 (en) | 2023-05-11 |
| JP7817477B2 (ja) | 2026-02-18 |
| CN115699585A (zh) | 2023-02-03 |
| KR20230005868A (ko) | 2023-01-10 |
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