Adaptive Noise-Powered Diffusion Model for Efficient and Accurate Object Detection
Recent advancements in object detection, particularly with DiffusionDet, have demonstrated impressive performance. However, its reliance on numerous random noise-based object candidates limits its efficiency. To overcome this limitation, we propose DifAda, a novel object detection model that incorpo...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/14/23/11367 |
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