Sentence examples for benchmark methods from inspiring English sources

GGE outperforms the benchmark methods for all cases.

Section 2 introduces the observation model and some benchmark methods.

The benchmark methods seem to be more robust to small sample problems.

We call these benchmark methods BR-SVM, BR-RF and BR-KNN, respectively.

Both benchmark methods rely on the left-right crosscheck to detect pixels with unreliable disparities.

With blur and noise, CAWF produces the highest SSIM in more cases than the benchmark methods.

The benchmark methods in this case must be able to address both blur and noise.

The benchmark methods are Delaunay SR [26] and weighted nearest neighbor (WNN) SR [27].

However, we have observed the same basic trends using the benchmark methods.

Among the benchmark methods, the non-training-based approach DM achieved the worst performance.

The benchmark methods are particle swarm optimization (PSO) and genetic algorithm (GA).