arXiv Computer Vision September 10, 2026 By Abdumannon Yovkochov, An Le, Sungbal Seo, You-Suk Bae, Truong Nguyen

Layerwise Tunable Lifting Scheme for the Convolutional Neural Network

Read the original on arXiv Computer Vision →

The paper presents a family of tunable lifting schemes for biorthogonal wavelet filter banks, introducing three strategies: low‑pass tuning, high‑pass tuning, and a sequential scheme that jointly adapts both branches. These designs use a lattice‑based lifting structure to ensure invertibility and stability for any parameter values. The authors integrated the schemes into a ResNet‑18 backbone and evaluated them on image classification (DTD) and anomaly detection (MVTec‑AD and KRC102S), reporting consistent performance improvements across all tasks.

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