144 research outputs found

    Cluster Contrast for Unsupervised Person Re-Identification

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    State-of-the-art unsupervised re-ID methods train the neural networks using a memory-based non-parametric softmax loss. Instance feature vectors stored in memory are assigned pseudo-labels by clustering and updated at instance level. However, the varying cluster sizes leads to inconsistency in the updating progress of each cluster. To solve this problem, we present Cluster Contrast which stores feature vectors and computes contrast loss at the cluster level. Our approach employs a unique cluster representation to describe each cluster, resulting in a cluster-level memory dictionary. In this way, the consistency of clustering can be effectively maintained throughout the pipline and the GPU memory consumption can be significantly reduced. Thus, our method can solve the problem of cluster inconsistency and be applicable to larger data sets. In addition, we adopt different clustering algorithms to demonstrate the robustness and generalization of our framework. The application of Cluster Contrast to a standard unsupervised re-ID pipeline achieves considerable improvements of 9.9%, 8.3%, 12.1% compared to state-of-the-art purely unsupervised re-ID methods and 5.5%, 4.8%, 4.4% mAP compared to the state-of-the-art unsupervised domain adaptation re-ID methods on the Market, Duke, and MSMT17 datasets. Code is available at https://github.com/alibaba/cluster-contrast

    The implementation plan of e-learning to fulfill new demands of librarians’ continuing education in city library network building

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    The changing trends in a rapidly evolving information society ask the LIS education to play a more and more important role in directing LIS professional not only by providing renowned degree programs in LIS schools but also by leading advanced continuing education for librarians. Under the background of China’s public culture policies, GuangZhou started to build a public library services system named "Guangzhou City of Libraries" in 2015. The current situation of human resources is the key problem to be solved, specifically, the severe shortage of workforce, the professionalism disqualification, and the unsatisfactory continuing education (Zhang, et.al., 2019a). According to the status survey, the continuing education which is mostly provided by local library associations, cannot satisfy the needs which manifests in limited coverage of training themes and audiences (Zhang, et.al., 2018). This is a further study based on the data and results of the series of formal studies conducted by the authors. An implementation plan of librarians’ continuing education for "Guangzhou City of Libraries" in the next two years has been drafted with a part of a detailed plan using e-learning to help make the continuing education professional, systematic, thematic, long-term tendency and extensive and fulfill new demands. This e-learning part, together with the whole draft implementation plan, will be presented to an advisory group. Adopting questionnaire and interview as the methods, the opinion of the advisory group on the feasibility, availability, validity, authority and risk of using e-learning in continuing education for large number of librarians in "Guangzhou City of Libraries" will be collected and analyzed. The opinion on the implementation plan of e-learning to fulfill new demands of librarians’ continuing education will be summarized and discussed
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