# GaborNet: Gabor filters with learnable parameters in deep convolutional neural networks

arXiv: https://arxiv.org/abs/1904.13204 · HTML: https://mlsanity.com/paper/1904.13204/

## Key facts

- Cited by 17 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 30 Apr 2019.

## Built on by (most cited first, 17 of 17)

- [Parametric Scattering Networks](https://mlsanity.com/paper/2107.09539/) (2021)
- [Shared Manifold Learning Using a Triplet Network for Multiple Sensor Translation and Fusion with Missing Data](https://mlsanity.com/paper/2210.17311/) (2022)
- [Revisiting 360 Depth Estimation with PanoGabor: A New Fusion Perspective](https://mlsanity.com/paper/2408.16227/) (2024)
- [Texture based Prototypical Network for Few-Shot Semantic Segmentation of Forest Cover: Generalizing for Different Geographical Regions](https://mlsanity.com/paper/2203.15687/) (2022)
- [Flow-NeRF: Joint Learning of Geometry, Poses, and Dense Flow within Unified Neural Representations](https://mlsanity.com/paper/2503.10464/) (2025)
- [Frequency Dropout: Feature-Level Regularization via Randomized Filtering](https://mlsanity.com/paper/2209.09844/) (2022)
- [MomentsNeRF: Leveraging Orthogonal Moments for Few-Shot Neural Rendering](https://mlsanity.com/paper/2407.02668/) (2024)
- [Bridging Classical and Modern Computer Vision: PerceptiveNet for Tree Crown Semantic Segmentation](https://mlsanity.com/paper/2505.23597/) (2025)
- [GraSens: A Gabor Residual Anti-aliasing Sensing Framework for Action Recognition using WiFi](https://mlsanity.com/paper/2205.11945/) (2022)
- [What do CNNs Learn in the First Layer and Why? A Linear Systems Perspective](https://mlsanity.com/paper/2206.02454/) (2022)
- [Stroke Lesion Segmentation with Visual Cortex Anatomy Alike Neural Nets](https://mlsanity.com/paper/2105.06544/) (2021)
- [Rega-Net:Retina Gabor Attention for Deep Convolutional Neural Networks](https://mlsanity.com/paper/2211.12698/) (2022)
- [Understanding and Improving CNNs with Complex Structure Tensor: A Biometrics Study](https://mlsanity.com/paper/2404.15608/) (2024)
- [Modulated differentiable STFT and balanced spectrum metric for freight train wheelset bearing cross-machine transfer monitoring under speed fluctuations](https://mlsanity.com/paper/2406.11917/) (2024)
- [Parametric PerceptNet: A bio-inspired deep-net trained for Image Quality Assessment](https://mlsanity.com/paper/2412.03210/) (2024)
- [Reparameterization through Coverings and Topological Weight Priors](https://mlsanity.com/paper/2604.23804/) (2026)
- [Explicit Over Implicit: Enhancing CNNs Via Complex Structure Tensor Representations for Periocular Recognition](https://mlsanity.com/paper/2607.15410/) (2026)

## Abstract (arXiv)

The article describes a system for image recognition using deep convolutional neural networks. Modified network architecture is proposed that focuses on improving convergence and reducing training complexity. The filters in the first layer of the network are constrained to fit the Gabor function. The parameters of Gabor functions are learnable and are updated by standard backpropagation techniques. The system was implemented on Python, tested on several datasets and outperformed the common convolutional networks.