ConCon Dataset

홈페이지 · 논문 1편

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.