Abstract
Even in the era of the Internet of Things (IoT), existing smart cameras still cannot efficiently run complex neural networks of image segmentation due to restricted storage and computing capacities. To address this issue, we proposed a high-efficient semantic segmentation for IoT-enabled smart cameras. The experiment results show that the accuracy of the proposed semantic segmentation model can improve the classwise accuracy by 4%, given that the model is reduced by 12.5% and even runs faster than prior studies.
| Original language | English |
|---|---|
| Title of host publication | 2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781665433280 |
| DOIs | |
| State | Published - 2021 |
| Event | 8th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021 - Penghu, Taiwan Duration: 15 Sep 2021 → 17 Sep 2021 |
Publication series
| Name | 2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021 |
|---|
Conference
| Conference | 8th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021 |
|---|---|
| Country/Territory | Taiwan |
| City | Penghu |
| Period | 15/09/21 → 17/09/21 |
Bibliographical note
Publisher Copyright:© 2021 IEEE.
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