Movshovitz-Attias, Y. et al. Ontological supervision for fine grained classification of Street View storefronts.
Professor Belongie's group specializes in human-in-the-loop computer vision and machine learning, in which humans and machines apply their complementary skills to solve challenging problems such as fine grained classification of plants and animals.
In our study, we attempt fine grained classification, such as four classes for users' age 18-24 yearss, 25-39 40-54 years4 yeand and >55 years).
However, more fine grained classification is necessary to identify the highly specific target parts, such as sentences describing 'patient population', 'interventions', or 'outcomes' [ 27].
A fine-grained classification with ~80 classes.
Pushing the Boundaries of Fine-Grained Classification Using fMRI Decoding in Human Visual Cortex.
(07/18) Our paper on Improving Fine-Grained Classification using Pairwise Confusion was accepted at ECCV 2018.
As a result, we can specify a fine-grained classification of the information, defining with a high degree of accuracy which properties each user has to own in order to be able to access each piece of information.
The research team includes computer scientists who will apply data analytics and machine learning to the vast web of information collected, ultimately creating a fine-grained classification of the different kinds of poverty — the many pathways in and potential trajectories out.
Encouraged by the recent success of Convolutional Neural Network (CNN) architectures in image classification, we propose a novel resolution-aware deep model which combines convolutional image super-resolution and convolutional fine-grained classification into a single model in an end-to-end manner.
A more fine-grained classification of the state-space approach is desirable, particularly if we wish to understand important lessons stemming from the Pragmatic View of Theories, as we shall see below.
