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Found 7 papers, 2 papers with code
Density-based Isometric Mapping
Multiple imaging datasets overall of 72, 236 cases, 70, 000 MINST data, 1596 from multiple Chest-XRay pneumonia datasets, and three NSCLC CT/PET datasets with a total of 640 lung cancer patients, were used to benchmark and validate PR-Isomap.
Domain Agnostic Image-to-image Translation using Low-Resolution Conditioning
Conditioned on a target image, such methods extract the target style and combine it with the source image content, keeping coherence between the domains.
DarSwin: Distortion Aware Radial Swin Transformer
Wide-angle lenses are commonly used in perception tasks requiring a large field of view.
Matching Feature Sets for Few-Shot Image Classification
In image classification, it is common practice to train deep networks to extract a single feature vector per input image.
Mixture-based Feature Space Learning for Few-shot Image Classification
In contrast, we propose to model base classes with mixture models by simultaneously training the feature extractor and learning the mixture model parameters in an online manner.
Associative Alignment for Few-shot Image Classification
Few-shot image classification aims at training a model from only a few examples for each of the "novel" classes.
Energy Saving Additive Neural Network
This "product" is used to construct a vector product in $R^N$.
