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Found 8 papers, 0 papers with code
One-shot Localization and Segmentation of Medical Images with Foundation Models
Recent advances in Vision Transformers (ViT) and Stable Diffusion (SD) models with their ability to capture rich semantic features of the image have been used for image correspondence tasks on natural images.
Discriminative Robust Deep Dictionary Learning for Hyperspectral Image Classification
This work proposes a new framework for deep learning that has been particularly tailored for hyperspectral image classification.
Row-Sparse Discriminative Deep Dictionary Learning for Hyperspectral Image Classification
Most of the prior studies were based on the unsupervised formulation; and in all cases, the training algorithm was greedy and hence sub-optimal.
Simultaneous Detection of Multiple Appliances from Smart-meter Measurements via Multi-Label Consistent Deep Dictionary Learning and Deep Transform Learning
There are hardly any studies in deep learning based multi label classification; two new deep learning techniques to solve the said problem are fundamental contributions of this work.
Majorization Minimization Technique for Optimally Solving Deep Dictionary Learning
The concept of deep dictionary learning has been recently proposed.
Reconstructing Multi-echo Magnetic Resonance Images via Structured Deep Dictionary Learning
In recent times, it has been shown that instead of using off-the-shelf CS, better results can be obtained by adaptive reconstruction algorithms based on structured dictionary learning.
Deep Blind Compressed Sensing
In this work we show that by learning directly from the compressed domain, considerably better results can be obtained.
How to Train Your Deep Neural Network with Dictionary Learning
In the final layer one needs to use the label consistent dictionary learning formulation for classification.
