mlsanityData to 14 Oct 2026

Layerwise Tunable Lifting Scheme for the Convolutional Neural Network

arXiv 2609.09827 ↗First posted 9 Sep 2026cs.CVcited by 0

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Abstract (arXiv)

This work introduces a family of tunable lifting schemes for biorthogonal wavelet filter banks. We propose three lifting strategies: low-pass tuning (LS-LayLatt-LP), high-pass tuning (LS-LayLatt-HP), and a sequential lifting scheme that jointly adapts low- and high-frequency branches (LS-LayLatt-Sequential). All proposed designs are formulated using a lattice-based lifting structure, which guarantees invertibility and stability for arbitrary parameter values within the lifting functions. We evaluated the proposed methods by integrating them into a ResNet-18 backbone for image classification on the Describable Textures Dataset (DTD), as well as for anomaly detection on hazelnut images from the MVTec-AD dataset and private KRC102S dataset. Experimental results demonstrate consistent performance improvements across all evaluated tasks.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 11 of its 16 references that are in the map. First posted on arXiv 9 Sep 2026.

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11 of 16 references.

References · 11

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,364
  3. 2016Densely Connected Convolutional Networkscited by 6,720
  4. 2013Describing Textures in the Wildcited by 2,125
  5. 2019Making Convolutional Networks Shift-Invariant Againcited by 391
  6. 2021CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flowscited by 321
  7. 2015Spectral Representations for Convolutional Neural Networkscited by 81
  8. 2021WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classificationcited by 29
  9. 2022Learning strides in convolutional neural networkscited by 26
  10. 2022Wavelet-Attention CNN for Image Classificationcited by 8
  11. 2025Biorthogonal Tunable Wavelet Unit with Lifting Scheme in Convolutional Neural Networkcited by 3

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