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421
TFIDF meets deep document representation : a re-visit of co-training for text classification
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) -
422
Boundary-aware feature propagation for scene segmentation
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 -
423
Toward achieving robust low-level and high-level scene parsing
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 -
424
Build a Large Language Model (From Scratch) /
Published [202Get full text
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software, multimedia -
425
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426
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427
Investigating spatio-temporal variability of initial ²³⁰Th/²³²Th in intertidal corals
Published 2023Get full text
Journal Article