Sentence examples for challenging benchmarks from inspiring English sources

Our results show that the proposed model can deal with highly expressive and partially occluded faces while outperforming the state-of-the-art face detectors by a large margin on challenging benchmarks such as the Face Detection Data Set and Benchmark (FDDB) [1] and the Annotated Facial Landmarks in the Wild (AFLW) [2] databases.

Extensive experiments over challenging benchmarks clearly validate advantage of our method.

We conduct experiments on two challenging benchmarks consisting of the MSRC-21 dataset and the SIFT FLOW dataset.

We extensively evaluate our approach using several challenging benchmarks, and provide comparative results to related state-of-the-art techniques.

Taken together, our achievements in enabling the microfluidic isolation of unfixed CTCs days after blood collection for transcriptomic profiling represent the most challenging benchmarks to date.

The aim of our present research was to demonstrate that the proposed methodology can be successful even for complex and challenging benchmarks like multimedia benchmarks.

The conducted experiments on challenging benchmark data sets validate the proposed model and the classification approach.

We demonstrate the code on a wide variety of challenging benchmark problems in (non -relativistic (magnon -relativisticcs.

Extensive experiments on challenging benchmark dataset validate that our model can significantly improve the performance of blur detection.

The computational performance of the proposed formulation is compared with the original three-index model through various examples drawn from literature including Westenberger Kallrath challenging benchmark problem.

Experiments on the most widely used and challenging benchmark datasets demonstrate that our method can obtain better accuracy and robustness in comparison with some previous methods.