Adaptive Neural Layer for Globally Filtered Segmentation
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Summary
This study aspired to invent an adaptive global frequency-filtering neural layer to "learn" optimal frequency filter for each image together with the weights of the segmentation network itself, and boosted typical U-Net segmentation performance by 10% and made the training of other popular models almost twice faster.
- Type
- article
- Published
- 2020-10-02
- Cited by
- 1
- References
- 41
- Access
- Open access
- OpenAlex
- https://openalex.org/W3091489149
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:222133981
Keywords
Computer science, Artificial intelligence, Segmentation, Filter (signal processing), Convolutional neural network
References
- FSIM: A Feature Similarity Index for Image Quality Assessment
- Digital Image Processing
- Pattern recognition and image preprocessing
- The Caltech-UCSD Birds-200-2011 Dataset
- Dynamic Texture Segmentation Using Fourier Transform
- Ultrasound: Basic understanding and learning the language
- Deep learning for visual understanding: A review
- Deep Residual Learning for Image Recognition
- V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
- vDNN: Virtualized deep neural networks for scalable, memory-efficient neural network design
- Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
- Loss Functions for Image Restoration With Neural Networks
- Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
- Blood vessel characterization using virtual 3D models and convolutional neural networks in fluorescence microscopy
- Convolutional Neural Networks for Inverse Problems in Imaging: A Review
- Attention U-Net: Learning Where to Look for the Pancreas
- UNet++: A Nested U-Net Architecture for Medical Image Segmentation
- Ultrasound image analysis using deep learning algorithm for the diagnosis of thyroid nodules
- Automatic thyroid nodule recognition and diagnosis in ultrasound imaging with the YOLOv2 neural network
- U-Net: Convolutional Networks for Biomedical Image Segmentation
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