CN112001301A - 基于全局交叉熵加权的楼宇监控方法、装置和电子设备 - Google Patents
基于全局交叉熵加权的楼宇监控方法、装置和电子设备 Download PDFInfo
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- CN112001301A CN112001301A CN202010847171.3A CN202010847171A CN112001301A CN 112001301 A CN112001301 A CN 112001301A CN 202010847171 A CN202010847171 A CN 202010847171A CN 112001301 A CN112001301 A CN 112001301A
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- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
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- G06V10/20—Image preprocessing
- G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
- G06V10/267—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion by performing operations on regions, e.g. growing, shrinking or watersheds
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CN202010847171.3A CN112001301B (zh) | 2020-08-21 | 2020-08-21 | 基于全局交叉熵加权的楼宇监控方法、装置和电子设备 |
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CN202010847171.3A CN112001301B (zh) | 2020-08-21 | 2020-08-21 | 基于全局交叉熵加权的楼宇监控方法、装置和电子设备 |
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CN112001301A true CN112001301A (zh) | 2020-11-27 |
CN112001301B CN112001301B (zh) | 2021-07-20 |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113139520A (zh) * | 2021-05-14 | 2021-07-20 | 杭州旭颜科技有限公司 | 用于工业互联网的设备膜片性能监测方法 |
Citations (5)
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CN107220980A (zh) * | 2017-05-25 | 2017-09-29 | 重庆理工大学 | 一种基于全卷积网络的mri图像脑肿瘤自动分割方法 |
CN108345887A (zh) * | 2018-01-29 | 2018-07-31 | 清华大学深圳研究生院 | 图像语义分割模型的训练方法及图像语义分割方法 |
CN108830171A (zh) * | 2018-05-24 | 2018-11-16 | 中山大学 | 一种基于深度学习的智能物流仓库引导线视觉检测方法 |
CN109977793A (zh) * | 2019-03-04 | 2019-07-05 | 东南大学 | 基于变尺度多特征融合卷积网络的路侧图像行人分割方法 |
WO2020099957A1 (en) * | 2018-11-12 | 2020-05-22 | Sony Corporation | Semantic segmentation with soft cross-entropy loss |
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2020
- 2020-08-21 CN CN202010847171.3A patent/CN112001301B/zh active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107220980A (zh) * | 2017-05-25 | 2017-09-29 | 重庆理工大学 | 一种基于全卷积网络的mri图像脑肿瘤自动分割方法 |
CN108345887A (zh) * | 2018-01-29 | 2018-07-31 | 清华大学深圳研究生院 | 图像语义分割模型的训练方法及图像语义分割方法 |
CN108830171A (zh) * | 2018-05-24 | 2018-11-16 | 中山大学 | 一种基于深度学习的智能物流仓库引导线视觉检测方法 |
WO2020099957A1 (en) * | 2018-11-12 | 2020-05-22 | Sony Corporation | Semantic segmentation with soft cross-entropy loss |
CN109977793A (zh) * | 2019-03-04 | 2019-07-05 | 东南大学 | 基于变尺度多特征融合卷积网络的路侧图像行人分割方法 |
Non-Patent Citations (2)
Title |
---|
FIDEL A. GUERRERO-PEÑA等: "Multiclass Weighted Loss for Instance Segmentation of Cluttered Cells", 《IEEE》 * |
贺浩等: "基于Encoder-Decoder网络的遥感影像道路提取方法", 《测绘学报》 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113139520A (zh) * | 2021-05-14 | 2021-07-20 | 杭州旭颜科技有限公司 | 用于工业互联网的设备膜片性能监测方法 |
CN113139520B (zh) * | 2021-05-14 | 2022-07-29 | 江苏中天互联科技有限公司 | 用于工业互联网的设备膜片性能监测方法 |
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