Sentence examples for benchmarking image from inspiring English sources

The experimental results achieved on three standard benchmarking image datasets demonstrate the outstanding performance of the proposed architecture at extracting and learning complex features for the CBIR task without prior knowledge about the semantic meta-data of images.

In order to assess the performance of the proposed tracking systems, they have been tested on the set of benchmarking image sequences provided by the CLEAR Evaluation Campaigns 2007 [22].

Figure 10 Benchmarking images contrast between before and after auto-focusing.

Food. Figure 10 shows some standard benchmarking images [30] such as Lena, Barbara, Cameraman, Peppers, Man, Goldhill, and Boats that are used for testing the proposed system.

Extensive experiments have been conducted on two benchmark image datasets.

Extensive experiments on benchmark image dataset demonstrate that the proposed algorithm outperforms seven state-of-the-art methods on complex background images.

The whole deep architecture is well solved by the typical back propagation (BP) method and its performances are verified on three benchmark image datasets.

The stimuli were rated by 20 subjects in each experiment using the ratio-scale magnitude estimation method against a benchmark image for each photo.

Experimental results show that our system is effective on image propagation, and can perform favorably against the state-of-the-art blind image deconvolution methods on different benchmark image sets and special blurred images.

The images were rated by 16 subjects in each experiment using the ratio-scale magnitude estimation method against a benchmark image with average balance and symmetry values and a standard number of elements.

Results obtained for conventional benchmark image sets demonstrate that, despite the simplifications adopted to make the novel algorithm hardware-friendly, the method proposed here can reach qualities higher than its competitors.