Sentence examples for challenging object from inspiring English sources

These findings demonstrate that even though DCNNs were not explicitly designed to model the visual system, after training for challenging object recognition tasks they show marked similarities to the functional and hierarchical structure of human visual cortices.

Ecological niche models represent a correlative approach to estimating a highly complex and challenging object, the fundamental ecological niche3.

We have considered two well-known and most challenging object datasets named as Caltech-101 [73] and Caltech-256 [11] to evaluate the object recognition performance of the proposed descriptor.

Although the technique may not be useful in the clinical setting due to the low speed of 3D printers, it could be utilized for calibration purposes and to correct particularly challenging object that could not be measured otherwise.

For the cylindrical object, which was selected as the least challenging object, with a small curved surface, the results of optical properties with correction did not show a significant improvement.

We are simply asking for the Republic of Mozambique to do the right thing and pay us for the work they themselves never challenged, objected to or ever asked us to delay, put on hiatus or stop.

Here, we show that the association of both biologically inspired network architecture and learning rule significantly improves the models׳ performance when facing challenging invariant object recognition problems.

We'd like your home runs and your runs batted in, but not if they are chemically produced". But the Yankees didn't ask the question; they didn't challenge the object of their desire on the subject of steroids.

To clarify the situation, here we systematically tested the effects of 4 basic cues that are known to challenge visual object processing, including face computation: size, position, contrast level, and viewpoint (rotation in depth).

Jack liked to surprise him on-air with an unexpected ordinary object, challenging, "See what you can do with this".

Our technique yields successful segmentation results even for challenging datasets where object contours are not well-defined.