A study of the Performance of Haier Smart under Digital Transformation

In recent years, the digital boom has continued to hit, and global scientific and technological innovation has been unprecedentedly intensive and active. On the cusp of this 5G trend, emerging technologies such as artificial intelligence, cloud sharing, and big data are emerging in an endless stream, constantly impacting traditional technologies and the real economy. The fourth industrial revolution has quietly penetrated into every corner of society. Both people's lives and the economic environment have been unprecedentedly affected. As an important pillar industry in the national economic construction, how to meet the digital transformation, seize the opportunity of digital transformation, enhance product value, and create new quality productivity has become particularly important. This paper takes digital transformation as the starting point, explores the motivation and path of Haier's digital transformation in the past ten years, and evaluates its performance. The study found that Haier Smart Home's digital transformation has improved the long-term performance of enterprises; the first enlightenment is to accelerate the transformation and upgrading and improve the degree of digital attention ; second, adhere to innovation-driven, enhance digital R & D sales; third, create a digital platform to enhance the user's personalized experience. It is expected that the research in this paper can provide some reference for the digital transformation of other household appliance enterprises and bring some help to the digitization of China's household appliance manufacturing industry

From Sensibility to Sense—An Analysis on the Shift of Marianne’s Views on Marriage in Sense and Sensibility

Jane Austen is an excellent female writer in the United Kingdom. Many of her works appeal to generation after generation of readers. She wrote and published six novels in total. Sense and Sensibility was one of her popular novels and first named as Elinor and Marianne. Elder sister Elinor is a rational girl who can control her temper appropriately. She loves Edward very much. However, the younger sister Marianne is very emotional. She pursues romantic love and fails to control her temper after the lovelorn. After experiencing many setbacks, Marianne understands many principles and corrects her childish viewpoints. Luckily, both of them get their true love finally.By researching original book and other literatures as well as analyzing the shift of Marianne’s behaviors and views on marriage from sensibility to sense, we can understand wise attitudes towards marriage. That is to say, when a woman chooses her Mr. Right, she should be more rational in love. This paper has great guiding importance for current women to seek their guidance in love. The paper will lead us to find what the rational views on marriage are and what we should do in marriage

Integrated Deep and Shallow Networks for Salient Object Detection

Deep convolutional neural network (CNN) based salient object detection methods have achieved state-of-the-art performance and outperform those unsupervised methods with a wide margin. In this paper, we propose to integrate deep and unsupervised saliency for salient object detection under a unified framework. Specifically, our method takes results of unsupervised saliency (Robust Background Detection, RBD) and normalized color images as inputs, and directly learns an end-to-end mapping between inputs and the corresponding saliency maps. The color images are fed into a Fully Convolutional Neural Networks (FCNN) adapted from semantic segmentation to exploit high-level semantic cues for salient object detection. Then the results from deep FCNN and RBD are concatenated to feed into a shallow network to map the concatenated feature maps to saliency maps. Finally, to obtain a spatially consistent saliency map with sharp object boundaries, we fuse superpixel level saliency map at multi-scale. Extensive experimental results on 8 benchmark datasets demonstrate that the proposed method outperforms the state-of-the-art approaches with a margin.Comment: Accepted by IEEE International Conference on Image Processing (ICIP) 201

A General Divergence Modeling Strategy for Salient Object Detection

Salient object detection is subjective in nature, which implies that multiple estimations should be related to the same input image. Most existing salient object detection models are deterministic following a point to point estimation learning pipeline, making them incapable of estimating the predictive distribution. Although latent variable model based stochastic prediction networks exist to model the prediction variants, the latent space based on the single clean saliency annotation is less reliable in exploring the subjective nature of saliency, leading to less effective saliency divergence modeling. Given multiple saliency annotations, we introduce a general divergence modeling strategy via random sampling, and apply our strategy to an ensemble based framework and three latent variable model based solutions to explore the subjective nature of saliency. Experimental results prove the superior performance of our general divergence modeling strategy.Comment: Code is available at: https://npucvr.github.io/Divergence_SOD