ACSL : adaptive correlation-driven sparsity learning for deep neural network compression
Deep convolutional neural network compression has attracted lots of attention due to the need to deploy accurate models on resource-constrained edge devices. Existing techniques mostly focus on compressing networks for image-level classification, and it is not clear if they generalize well on networ...
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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
2021
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/152852 |
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Institution: | Nanyang Technological University |
Language: | English |