ConCon Dataset (Continually Confounded Dataset)
Introduced by Busch et al. in Where is the Truth? The Risk of Getting Confounded in a Continual World
ConCon: Continually Confounded Dataset is a confounded visual dataset for continual learning.
Files contained:
case_disjoint, case_strict and unconfounded consist of splits for training (train), validation (val), testing (test).
Each split within case_disjoint and case_strict contains 3 tasks (t0, t1, t2) whereas there is 1 task (t0) within unconfounded.
Each task contains folders for postive(1) and negative(0) images.
Papers
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