NLFFTNet: A non-local feature fusion transformer network for multi-scale object detection
Neurocomputing(2022)
摘要
•A non-local feature fused transformer convolutional network is proposed.•A configurable data augment method for data imbalance between different classes.•Our proposed model achieves better performance than other outstanding models.
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关键词
Multi-scale object detection,Non-local feature fusion,Long-distance dependency,Dynamic data augment
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