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Keyword: singular value decomposition ×Clear all

2 claims from 1 paper

1. Computer Science › Advanced Neural Network Applications

   Basis sharing and coefficient pruning for efficient neural network compression

   Pham · Neural Networks · 2026

   The paper proposes SaP, a compression method combining shared basis filters with coefficient pruning, and reports it outperforms state-of-the-art baselines across several computer vision tasks.

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   1. UncheckedSaP expresses filters as combinations of shared basis filters and drops redundant coefficients, aiming for higher compression while keeping discriminative information.“By representing filters as linear combinations of a reduced set of shared basis filters and removing redundant coefficients, SaP achieves higher compression ratios while preserving discriminative information.”
   2. UncheckedAcross four computer vision tasks, the SaP compression method is reported to beat state-of-the-art baselines on compression, accuracy retention and efficiency.“Extensive experiments on image classification, object detection, instance segmentation, and keypoint detection demonstrate that SaP consistently outperforms state-of-the-art baselines in terms of compression, accuracy retention, and practical efficiency.”