Showing 421 - 427 results of 427 for search '((alba OR alan) OR ((meta OR (imelda OR melda)) OR (della OR (bell OR pla))))', query time: 0.14s Refine Results
  1. 421

    TFIDF meets deep document representation : a re-visit of co-training for text classification by Chen, Zhiwei

    Published 2020
    “…Many text classification tasks face the challenge of lack of sufficient la- belled data. Co-training algorithm is a candidate solution, which learns from both labeled and unlabelled data for better classification accuracy. …”
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    Final Year Project (FYP)
  2. 422

    Boundary-aware feature propagation for scene segmentation by Ding, Henghui, Jiang, Xudong, Liu, Ai Qun, Thalmann, Nadia Magnenat, Wang, Gang

    Published 2020
    “…The proposed BFP is capable of splitting the feature propagation into a set of semantic groups via building strong connections among the same segment region but weak connections between different segment regions. Without bells and whistles, our approach achieves new state-of-the-art segmentation performance on three challenging semantic segmentation datasets, i.e., PASCAL-Context, CamVid, and Cityscapes.…”
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    Conference Paper
  3. 423

    Toward achieving robust low-level and high-level scene parsing by Shuai, Bing, Ding, Henghui, Liu, Ting, Wang, Gang, Jiang, Xudong

    Published 2020
    “…Extensive experimental studies justify each contribution separately. Without bells and whistles, EFCN achieves state-of-the-arts on segmentation datasets of ADE20K, Pascal Context, SUN-RGBD and Pascal VOC 2012.…”
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    Journal Article
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