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aicenter / GroupAD.jl

Generative Anomaly Detection for Multiple Instance Learning problems.
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Add a toy problem #2

Open vitskvara opened 3 years ago

vitskvara commented 3 years ago

Add a toy dataset on which we can benchmark methods. Ideally, a working detector should have (almost) perfect prediction accuracy on it.

masenka31 commented 3 years ago

I really like the toy problem from Model-Based Learning for Point Pattern Data (Figure 7) to test for cardinality influence on detection: http://prntscr.com/10zwlwf Neural Statistician was able to score AUC=1 for all 3 cases with some score functions.

The toy problem from One-Class Support Measure Machines for Group Anomaly Detection (or a modification of such toy problem) looks good for "semantic" anomaly detection: http://prntscr.com/10zwmd2. It can be also modified to have different cardinalities as well.

vitskvara commented 3 years ago

Nice, I like both problems.