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Depth-estimation is an important task for autonomous driving, 3D object detection and recognition, scene understanding, and other fields. To improve the quality of depth estimation in high-frequency edge detail area, this paper presents DSS-Net, a dual-stream stereo network, combining a bottom-up steam based on scene understanding and a top-down stream based on parallax local optimization. Firstly, in the bottom-up stream, deep features containing high-level semantic information are extracted by a deep network, and then, a coarse estimate of the disparity is computed according to depth intervals classified based on deep features. In the up-bottom stream, the model uses the high-resolution shallow features with rich details and the initial coarse disparity to construct the local dense matching cost in the parallax neighborhood of each pixel of the initial disparity map, and uses stacked multiple hourglass networks to refine the parallax diagram in several stages. We achieve results on the Scene Flow, KITTI 2012 and 2015 datasets, showing that our method has high precision. [ABSTRACT FROM AUTHOR]

Fe-doped mesoporous alumina (MA) was successfully synthesized via a facile one-pot synthesis method. The resulting Fe-doped MA samples possess typical mesoporous structure, relatively high BET surface area, and narrowed pore size diameter. Besides, the iron species are well-dispersed in the alumina matrix, and more importantly, some small oligonuclear iron oxide clusters are linked on the surface of alumina, leading to the elimination of strong acid sites. The reaction of phenol hydroxylation was preceded at room temperature for 2 h. The introduction of mesoporous structure in alumina would be favorable for the adsorption and diffusion process of reactant and product molecules, and also the well-dispersed iron species in alumina matrix and large amount of acid sites stimulate more active hydroxyl radicals which are greatly beneficial for the catalytic process, especially the elimination of strong acid sites would inhibit the over-oxidation reaction. In this case, the sample of 5Fe–MA displays the best catalytic performance especially with the extremely high dihydroxybenzene selectivity of 93.2%, and the good catalytic stability is also evidenced by the five times recycling tests. In this work, the Fe-doped mesoporous alumina (MA) was successfully prepared. The iron species are well-dispersed in the alumina matrix, and some small oligonuclear iron oxide clusters are linked on the surface of alumina, leading to the elimination of strong acid sites. The advanced properties of mesoporous structure, well-dispersed metal active centers and lack of strong acid sites in Fe-doped MA are greatly beneficial for the catalytic process, especially for the dihydroxybenzene selectivity with extremely high value of 93.2%. [ABSTRACT FROM AUTHOR]