Cited By
View all- Shen YPeng JFeng XFan J(2018)Multi-label multi-instance learning with missing object tagsMultimedia Systems10.1007/s00530-012-0290-019:1(17-36)Online publication date: 27-Dec-2018
In this paper, a novel framework is developed for leveraging large-scale loosely tagged images for object classifier training by addressing three key issues jointly: (a) spam tags e.g., some tags are more related to popular query terms rather than the ...
The characteristics specific of MIL problems are formally identified and described.MIL methods and applications are reviewed in the light of the problem characteristics.Comparative experiments show the impact of problem characteristics on 16 reference ...
Multi‐instance multi‐label (MIML) Active Learning (M2AL) aims to improve the learner while reducing the cost as much as possible by querying informative labels of complex bags composed of diverse instances. Existing M2AL solutions suffer high ...
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