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ConCon: Continually Confounded Dataset

Name: ConCon: Continually Confounded Dataset
Keywords: machine learning, deep learning, dataset, continual learning, computer vision, confounding

appsOther research productkeyboard_double_arrow_right Image 07 Feb 2024 English Publisher:Zenodo

Authors: Busch, Florian Peter; Kamath, Roshni; Mitchell, Rupert; Stammer, Wolfgang; Kersting, Kristian; Mundt, Martin;

doi: 10.5281/zenodo.10630482

ConCon: Continually Confounded Dataset

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Abstract

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.

Related Organizations

TU Darmstadt
Germany

Keywords

machine learning, deep learning, dataset, continual learning, computer vision, confounding

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

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