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