Sentence examples for class segmentation from inspiring English sources

In this work, a novel RNN architecture for object class segmentation is presented.

To do this, we used a popular statistical technique called latent class segmentation, which can reveal hidden (or latent) subgroups within a larger population.

We evaluate our models on the challenging NYU Depth v2 dataset for object class segmentation and obtain competitive results.

Object class segmentation is a computer vision task which requires labeling each pixel of an image with the class of the object it belongs to.

2) Intensity nonuniform inhomogeneity correction, tissue class segmentation, and spatial normalisation were performed using the unified segmentation approach implemented in SPM5.

3) To enhance tissue class segmentation Hidden Markov Random Field (HMRF) weighting was applied (http://dbm.neuro.uni-jena.de/vbm/markov-random-fields/).

Nguyen, T. et al. U-Net for MAV-based Penstock Inspection: an Investigation of Focal Loss in Multi-class Segmentation for Corrosion Identification.

It performed well on two-class segmentation but did not work on multi-class segmentation.

MR attenuation correction (MRAC) was acquired with 3D T1-FFE using three-class segmentation.

The two-phase level set method can only partition images into two parts, making it unsuitable for multi-class segmentation in some medical applications.

Comparative experiments on four multi-class segmentation datasets show that each of the above elements improves the results, leading to a scalable algorithm that is both faster and more accurate than existing patch-level approaches.