CA3242569A1 - Method and processing device for estimating a robustness of a neural network in generating segmentation predictions - Google Patents
Method and processing device for estimating a robustness of a neural network in generating segmentation predictionsInfo
- Publication number
- CA3242569A1 CA3242569A1 CA3242569A CA3242569A CA3242569A1 CA 3242569 A1 CA3242569 A1 CA 3242569A1 CA 3242569 A CA3242569 A CA 3242569A CA 3242569 A CA3242569 A CA 3242569A CA 3242569 A1 CA3242569 A1 CA 3242569A1
- Authority
- CA
- Canada
- Prior art keywords
- robustness
- estimating
- processing device
- neural network
- generating segmentation
- 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
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N7/00—Computing arrangements based on specific mathematical models
- G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
-
- 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
- G06N3/0464—Convolutional networks [CNN, ConvNet]
-
- 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
- G06N3/08—Learning methods
- G06N3/09—Supervised learning
-
- 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
-
- 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
- G06N3/048—Activation functions
-
- 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
- G06N3/08—Learning methods
- G06N3/084—Backpropagation, e.g. using gradient descent
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computing Systems (AREA)
- Software Systems (AREA)
- Artificial Intelligence (AREA)
- Mathematical Physics (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Biophysics (AREA)
- Molecular Biology (AREA)
- General Health & Medical Sciences (AREA)
- Computational Linguistics (AREA)
- Biomedical Technology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Probability & Statistics with Applications (AREA)
- Algebra (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Image Analysis (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201962855340P | 2019-05-31 | 2019-05-31 | |
| US62/855,340 | 2019-05-31 | ||
| CA3137030A CA3137030A1 (en) | 2019-05-31 | 2020-05-28 | Method and processing device for training a neural network |
Related Parent Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CA3137030A Division CA3137030A1 (en) | 2019-05-31 | 2020-05-28 | Method and processing device for training a neural network |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CA3242569A1 true CA3242569A1 (en) | 2020-12-03 |
Family
ID=73553098
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CA3242569A Pending CA3242569A1 (en) | 2019-05-31 | 2020-05-28 | Method and processing device for estimating a robustness of a neural network in generating segmentation predictions |
| CA3137030A Pending CA3137030A1 (en) | 2019-05-31 | 2020-05-28 | Method and processing device for training a neural network |
Family Applications After (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CA3137030A Pending CA3137030A1 (en) | 2019-05-31 | 2020-05-28 | Method and processing device for training a neural network |
Country Status (3)
| Country | Link |
|---|---|
| EP (1) | EP3977364A4 (en) |
| CA (2) | CA3242569A1 (en) |
| WO (1) | WO2020240477A1 (en) |
Families Citing this family (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112528810A (en) * | 2020-12-04 | 2021-03-19 | 北京中科慧眼科技有限公司 | Semantic segmentation method, system and equipment suitable for mobile terminal deployment |
| CN112686817B (en) * | 2020-12-25 | 2023-04-07 | 天津中科智能识别产业技术研究院有限公司 | Image completion method based on uncertainty estimation |
| CN112784818B (en) * | 2021-03-03 | 2023-03-14 | 电子科技大学 | Identification method based on grouping type active learning on optical remote sensing image |
| WO2022243337A2 (en) * | 2021-05-17 | 2022-11-24 | Deep Safety Gmbh | System for detection and management of uncertainty in perception systems, for new object detection and for situation anticipation |
| WO2023280511A1 (en) * | 2021-07-06 | 2023-01-12 | Asml Netherlands B.V. | Determining localized image prediction errors to improve a machine learning model in predicting an image |
| CN113569926A (en) * | 2021-07-13 | 2021-10-29 | 中国资源卫星应用中心 | A method and device for training a cloud segmentation model with high mobility |
| WO2023000159A1 (en) * | 2021-07-20 | 2023-01-26 | 海南长光卫星信息技术有限公司 | Semi-supervised classification method, apparatus and device for high-resolution remote sensing image, and medium |
| CN113435411B (en) * | 2021-07-26 | 2022-06-17 | 中国矿业大学(北京) | Improved DeepLabV3+ based open pit land utilization identification method |
| CN113850825B (en) * | 2021-09-27 | 2024-03-29 | 太原理工大学 | Remote sensing image road segmentation method based on context information and multi-scale feature fusion |
| CN114494959B (en) * | 2022-01-24 | 2025-03-25 | 中国矿业大学 | An Attention-Guided Adversarial Attack Method for Video Object Segmentation |
| CN114595748B (en) * | 2022-02-21 | 2024-02-13 | 南昌大学 | A data segmentation method for fall protection systems |
| CN115546225B (en) * | 2022-09-06 | 2025-07-08 | 华南理工大学 | Model training method for improving semantic segmentation network prediction probability distribution quality |
| CN115482383B (en) * | 2022-09-22 | 2025-12-23 | 贵州大学 | Continuous learning semantic segmentation method with sparsification effect |
| CN116188845A (en) * | 2022-12-30 | 2023-05-30 | 支付宝(杭州)信息技术有限公司 | Anti-attack detection method and system |
| CN116434037B (en) * | 2023-04-21 | 2023-09-22 | 大连理工大学 | Multi-mode remote sensing target robust recognition method based on double-layer optimization learning |
| CN116844063A (en) * | 2023-05-31 | 2023-10-03 | 兰州大学 | Sand and dust identification method, equipment and storage device based on multi-modal neural network |
| CN117036941B (en) * | 2023-08-07 | 2025-09-19 | 电子科技大学长三角研究院(湖州) | Building change detection method and system based on twin Unet model |
| CN117598713B (en) * | 2023-11-30 | 2024-12-24 | 网易传媒科技（北京）有限公司 | Abnormal discharge detection method, device, medium and equipment for epileptic seizure interval |
| CN119693811B (en) * | 2024-11-14 | 2025-12-02 | 南京航空航天大学 | Small target detection method based on multimodal remote sensing images |
| CN119579460B (en) * | 2024-11-19 | 2025-11-18 | 东南大学 | A method and system for generalized sharpening of remote sensing images based on two-stage optimization-driven high-frequency enhancement |
| CN120430418B (en) * | 2025-07-01 | 2025-09-30 | 科大讯飞股份有限公司 | Large model reasoning method, device, related equipment and computer program product |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10192129B2 (en) * | 2015-11-18 | 2019-01-29 | Adobe Systems Incorporated | Utilizing interactive deep learning to select objects in digital visual media |
| JP7134962B2 (en) * | 2016-12-23 | 2022-09-12 | ハートフロー， インコーポレイテッド | Systems and methods for probabilistic segmentation in anatomical imaging |
| GB201709672D0 (en) * | 2017-06-16 | 2017-08-02 | Ucl Business Plc | A system and computer-implemented method for segmenting an image |
| CN109035263B (en) * | 2018-08-14 | 2021-10-15 | 电子科技大学 | An automatic segmentation method of brain tumor images based on convolutional neural network |
-
2020
- 2020-05-28 CA CA3242569A patent/CA3242569A1/en active Pending
- 2020-05-28 WO PCT/IB2020/055088 patent/WO2020240477A1/en not_active Ceased
- 2020-05-28 EP EP20813093.0A patent/EP3977364A4/en active Pending
- 2020-05-28 CA CA3137030A patent/CA3137030A1/en active Pending
Also Published As
| Publication number | Publication date |
|---|---|
| WO2020240477A1 (en) | 2020-12-03 |
| EP3977364A4 (en) | 2023-06-14 |
| CA3137030A1 (en) | 2020-12-03 |
| EP3977364A1 (en) | 2022-04-06 |
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