DrawingNet for Communication Tower Drawings Recognition
Industrial drawing recognition attains much attention for its significance in drawing image digitalization. However, traditional deep methods fail to achieve a satisfactory performance, due to their inferior feature representation ability. To address this issue, we introduce an industrial drawing re...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10731890/ |