Multiple-Instance learning from multiple perspectives: Combining models for Multiple-Instance learning

Abstract

Multiple-Instance learning (MIL), which relaxes training annotation granularity from instance level to instance collection (bag) level by applying bag concept, obtains increasing attentions from computer vision community. Due to its flexible annotation mechanism, MIL has been naturally utilized on a variety of computer vision problems. And numerous models… (More)
DOI: 10.1109/WACV.2012.6163044

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Cite this paper

@article{Zhang2012MultipleInstanceLF, title={Multiple-Instance learning from multiple perspectives: Combining models for Multiple-Instance learning}, author={Bang Zhang and Yang Wang and Wei Wang}, journal={2012 IEEE Workshop on the Applications of Computer Vision (WACV)}, year={2012}, pages={481-487} }