MDPruner: Meta-Learning Driven Dynamic Filter Pruning for Efficient Object Detection
Filter pruning is a potent technique for diminishing the computational demands of Convolutional Neural Networks (CNNs), while effectively retaining model performance in image categorization tasks. However, research on its application to object detection models is scant and often incurs substantial p...
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| 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/10684711/ |
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