Sentence examples for deep segmentation from inspiring English sources

Firstly, we develop shallow-deep channels by concatenating shallow hand-crafted and deep segmentation channels to capture appearance clues as well as semantic attributes.

Our method consists of a deep segmentation network for generating mitosis region when only a weak label is given (i.e., only the centroid pixel of mitosis is annotated), an elaborately designed deep detection network for localizing mitosis by using contextual region information, and a deep verification network for improving detection accuracy by removing false positives.

First, we emphasize along-dip segmentation of a subduction zone with shallow and deep segments, whereas only along-strike segmentation has previously been considered for subduction zones.

In addition to the conventional along-strike segmentation, along-dip segmentation of the fault area or subduction zone is an important feature for the Tohoku subduction zone, as indicated by the difference in background seismicity: virtually no seismicity in shallow segments but active with large events repeating in deep segments.

In this paper, we propose integrating deep semantic segmentation feature maps into the original pedestrian detection framework which combines feature channels with AdaBoost classifiers.

We find our deep learning segmentation outperforms random forests in terms of mean (a) AUC (0.95 vs 0.80), (b) F-score (0.96 vs 0.91), (c) TPR (0.96 vs 0.92), (d) TNR (0.94 vs 0.67), and (e) modified Hausdorff distance on the segmentation perimeter pixels (51 vs 122).

To help organize customers across channels, Facebook is allowing for custom audience groupings and deeper user segmentation as part of a beta.

A number of recent studies [16, 22] have employed deep learning-based implicit segmentation techniques for recognition of cursive text leaving it to the classifier to implicitly find segmentation cue points of characters.

In this paper, we call this separation between shallow and deep regions "along-dip segmentation".

Recently, implicit segmentation using deep learning has been successfully investigated for recognition of Urdu text [23 26].

Apple also uses semantic segmentation and Deep Lambertian Networks to analyze the point cloud coupled with the image data captured by the car and from high-resolution satellites in sync.