EP4062375A4 - Method and apparatus for quantization, adaptive block partitioning and codebook coding for neural network model compression - Google Patents
Method and apparatus for quantization, adaptive block partitioning and codebook coding for neural network model compression Download PDFInfo
- Publication number
- EP4062375A4 EP4062375A4 EP20890921.8A EP20890921A EP4062375A4 EP 4062375 A4 EP4062375 A4 EP 4062375A4 EP 20890921 A EP20890921 A EP 20890921A EP 4062375 A4 EP4062375 A4 EP 4062375A4
- Authority
- EP
- European Patent Office
- Prior art keywords
- quantization
- neural network
- network model
- block partitioning
- model compression
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
- H04N19/119—Adaptive subdivision aspects, e.g. subdivision of a picture into rectangular or non-rectangular coding blocks
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
- H04N19/124—Quantisation
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
- H04N19/129—Scanning of coding units, e.g. zig-zag scan of transform coefficients or flexible macroblock ordering [FMO]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/70—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by syntax aspects related to video coding, e.g. related to compression standards
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
Landscapes
- Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Multimedia (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- Biomedical Technology (AREA)
- Molecular Biology (AREA)
- Biophysics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Artificial Intelligence (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Compression Or Coding Systems Of Tv Signals (AREA)
Applications Claiming Priority (6)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US201962939054P | 2019-11-22 | 2019-11-22 | |
US201962939057P | 2019-11-22 | 2019-11-22 | |
US201962939949P | 2019-11-25 | 2019-11-25 | |
US201962947236P | 2019-12-12 | 2019-12-12 | |
US17/099,202 US11245903B2 (en) | 2019-11-22 | 2020-11-16 | Method and apparatus for quantization, adaptive block partitioning and codebook coding for neural network model compression |
PCT/US2020/061258 WO2021102125A1 (en) | 2019-11-22 | 2020-11-19 | Method and apparatus for quantization, adaptive block partitioning and codebook coding for neural network model compression |
Publications (2)
Publication Number | Publication Date |
---|---|
EP4062375A1 EP4062375A1 (en) | 2022-09-28 |
EP4062375A4 true EP4062375A4 (en) | 2022-12-28 |
Family
ID=75981074
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP20890921.8A Pending EP4062375A4 (en) | 2019-11-22 | 2020-11-19 | Method and apparatus for quantization, adaptive block partitioning and codebook coding for neural network model compression |
Country Status (5)
Country | Link |
---|---|
EP (1) | EP4062375A4 (en) |
JP (1) | JP7337950B2 (en) |
KR (1) | KR20210136123A (en) |
CN (1) | CN113795869B (en) |
WO (1) | WO2021102125A1 (en) |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113766237B (en) * | 2021-09-30 | 2024-07-02 | 咪咕文化科技有限公司 | Encoding method, decoding method, device, equipment and readable storage medium |
TWI795135B (en) * | 2021-12-22 | 2023-03-01 | 財團法人工業技術研究院 | Quantization method for neural network model and deep learning accelerator |
TWI819627B (en) * | 2022-05-26 | 2023-10-21 | 緯創資通股份有限公司 | Optimizing method and computing apparatus for deep learning network and computer readable storage medium |
Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20190347550A1 (en) * | 2018-05-14 | 2019-11-14 | Samsung Electronics Co., Ltd. | Method and apparatus with neural network parameter quantization |
Family Cites Families (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20140307803A1 (en) | 2013-04-08 | 2014-10-16 | Qualcomm Incorporated | Non-entropy encoded layer dependency information |
US10223635B2 (en) | 2015-01-22 | 2019-03-05 | Qualcomm Incorporated | Model compression and fine-tuning |
US10515307B2 (en) | 2015-06-05 | 2019-12-24 | Google Llc | Compressed recurrent neural network models |
US10332001B2 (en) * | 2016-12-15 | 2019-06-25 | WaveOne Inc. | Enhanced coding efficiency with progressive representation |
CN108271026B (en) | 2016-12-30 | 2020-03-31 | 上海寒武纪信息科技有限公司 | Compression/decompression device and system, chip, electronic device and method |
US11403528B2 (en) | 2018-05-31 | 2022-08-02 | Kneron (Taiwan) Co., Ltd. | Self-tuning incremental model compression solution in deep neural network with guaranteed accuracy performance |
WO2020190772A1 (en) | 2019-03-15 | 2020-09-24 | Futurewei Technologies, Inc. | Neural network model compression and optimization |
US11556796B2 (en) * | 2019-03-25 | 2023-01-17 | Nokia Technologies Oy | Compressing weight updates for decoder-side neural networks |
CN110263913A (en) * | 2019-05-23 | 2019-09-20 | 深圳先进技术研究院 | A kind of deep neural network compression method and relevant device |
CN110276451A (en) * | 2019-06-28 | 2019-09-24 | 南京大学 | One kind being based on the normalized deep neural network compression method of weight |
CN110443359A (en) * | 2019-07-03 | 2019-11-12 | 中国石油大学(华东) | Neural network compression algorithm based on adaptive combined beta pruning-quantization |
US11671110B2 (en) | 2019-11-22 | 2023-06-06 | Tencent America LLC | Method and apparatus for neural network model compression/decompression |
-
2020
- 2020-11-19 JP JP2021559625A patent/JP7337950B2/en active Active
- 2020-11-19 KR KR1020217033218A patent/KR20210136123A/en unknown
- 2020-11-19 CN CN202080033543.7A patent/CN113795869B/en active Active
- 2020-11-19 EP EP20890921.8A patent/EP4062375A4/en active Pending
- 2020-11-19 WO PCT/US2020/061258 patent/WO2021102125A1/en unknown
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20190347550A1 (en) * | 2018-05-14 | 2019-11-14 | Samsung Electronics Co., Ltd. | Method and apparatus with neural network parameter quantization |
Non-Patent Citations (1)
Title |
---|
AL-HAMI MO'TAZ ET AL: "Methodologies of Compressing a Stable Performance Convolutional Neural Networks in Image Classification", NEURAL PROCESSING LETTERS, KLUWER ACADEMIC PUBLISHERS, NORWELL, MA, US, vol. 51, no. 1, 20 July 2019 (2019-07-20), pages 105 - 127, XP037048818, ISSN: 1370-4621, [retrieved on 20190720], DOI: 10.1007/S11063-019-10076-Y * |
Also Published As
Publication number | Publication date |
---|---|
EP4062375A1 (en) | 2022-09-28 |
WO2021102125A1 (en) | 2021-05-27 |
KR20210136123A (en) | 2021-11-16 |
JP2022533307A (en) | 2022-07-22 |
CN113795869B (en) | 2023-08-18 |
CN113795869A (en) | 2021-12-14 |
JP7337950B2 (en) | 2023-09-04 |
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Ipc: G06N 3/08 20060101ALI20221118BHEP Ipc: G06N 3/04 20060101ALI20221118BHEP Ipc: H04N 19/91 20140101ALI20221118BHEP Ipc: H04N 19/119 20140101ALI20221118BHEP Ipc: H04N 19/70 20140101ALI20221118BHEP Ipc: H04N 19/96 20140101AFI20221118BHEP |
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