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The key issue in monocular depth estimation is how to construct the depth image better and improve the quality of the depth map. At present, most of the monocular depth estimation methods based on deep learning manipulate images at low resolution that leads to loss of detail and blurring of boundaries. Nevertheless, deep learning with a large number of parameters needs highly computational complexity, which makes it difficult to apply high-resolution (HR) images to the depth estimate. In this work, model accuracy and runtime are two important factors to be considered. To improve the depth map quality and reduce the running time of the network, we introduce super-resolution techniques as methods of up-sampling to generate high-quality depth images at a faster rate for the depth estimation network. A novel approach is proposed for collecting high-level features that are captured under different receptive fields. The gated multi-scale decoder allows us to effectively filter information by the gated module. By combining the gated module to aid the super resolution of depth images, our method reduces memory consumption while improves reconstruction quality. Experiment results on the challenging NYU Depth v2 dataset demonstrate that both contributions provide significant performance gains over the state-of-the-art in self-supervised depth estimation.

This paper analyzes and compares four different mechanisms for providing QoS in IEEE 802.11 WLAN. And it evaluates the IEEE 802.11 mode for service differentiation (PCF), Distributed Fair Scheduling, Black burst, and a scheme proposed by Deng et al. using the ns-2 simulator. The evaluation covers medium utilization, access delay, and the ability to support a large number of high priority mobile stations. With the rapid development of wireless LAN applications, we urgently need the ability to provide wireless LAN and the wired network as real-time applications. If the network bandwidth is relatively low, then QoS will be indispensable. IEEE S02.11 standard is today the most widely used in WLAN standards. It includes a distinction between the service models, but its poor performance and the link utilization is less than satisfactory. We studied and evaluated the four kinds of QoS based on IEEES02.11 wireless LAN design, the PCF mode based IEEE S02.11, distributed fair scheduling, Black burst, and Deng program.

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Commercial banks occupy an important leading position in China’s banking industry, and their efficiency is of great reference value to the economy of China’s financial system, reflecting the current state of China’s economy. In this paper, the super-efficiency DEA values of 19 commercial banks from 2016 to 2020 are calculated by employing the super-efficiency method into the two-stage network DEA model with constant returns to scale. Compared with the traditional two-stage network DEA model, this method is better. The results show that the calculated values are more accurate than the DEA values measured directly by the two-stage network, and the banks with an efficiency value of 1 can be further distinguished. According to the analysis of table data, the operating efficiency of ICBC is the highest, the operating efficiency of the entire banking sector is at a medium level, the second stage has a greater impact on the overall efficiency, and the loan side business needs to be improved.