Variational Bayesian Multiple Instance Learning With Gaussian Processes

Gaussian Processes (GPs) are effective Bayesian predictors. We here show for the first time that instance labels of a GP classifier can be inferred in the multiple instance learning (MIL) setting using variational Bayes... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK BENCHMARK
Weakly Supervised Object Detection PASCAL VOC 2007 VGPMIL MAP 46.1 # 22
Weakly Supervised Object Detection PASCAL VOC 2012 test LM-VGPMIL MAP 37.8 # 21

Methods used in the Paper


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