A path aggregation network with deformable convolution for visual object detection
One of the main challenges encountered in visual object detection is the multi-scale issue. Many approaches have been proposed to tackle this issue. In this article, we propose a novel neck that can perform effective fusion of multi-scale features for a single-stage object detector. This neck, named...
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| Main Authors: | Chengming Rao, Zunhao Hu, QiMing Zhao, Min Shan, Li Mao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2025-08-01
|
| Series: | PeerJ Computer Science |
| Subjects: | |
| Online Access: | https://peerj.com/articles/cs-3083.pdf |
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