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05/08/2023
Domain Agnostic Image-to-image Translation using Low-Resolution Conditioning
Generally, image-to-image translation (i2i) methods aim at learning mapp...
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04/19/2023
DarSwin: Distortion Aware Radial Swin Transformer
Wide-angle lenses are commonly used in perception tasks requiring a larg...
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04/02/2022
Matching Feature Sets for Few-Shot Image Classification
In image classification, it is common practice to train deep networks to...
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11/24/2020
Persistent Mixture Model Networks for Few-Shot Image Classification
We introduce Persistent Mixture Model (PMM) networks for representation ...
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12/11/2019
Associative Alignment for Few-shot Image Classification
Few-shot image classification aims at training a model by using only a f...
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02/09/2017
