OA-CutMix: Correcting the Label Bias of CutMix

arXiv:2606.04820 · cs.CV, cs.AI, cs.LG · Submitted 2026-06-03 · Read on arXiv

cs.CV, cs.AI, cs.LG

Submitted: 2026-06-03

Updated: 2026-06-03

DOI: 10.1007/978-3-032-38401-0_32

Code: https://github.com/tobna/oa-cutmix

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Accuracy — 18× in this paper · explained in 1 episode
Data Augmentation — 18× in this paper · explained in 7 episodes
Calibration — 9× in this paper · explained in 7 episodes
Segmentation Masks — 6× in this paper · explained in 2 episodes
Ablation — 4× in this paper · explained in 1 episode
Alignment — 3× in this paper · explained in 1 episode
Benchmark — 3× in this paper · explained in 2 episodes
Mask Generation — 3× in this paper · explained in 2 episodes
Transformer — 3× in this paper · explained in 2 episodes
Core — 2× in this paper · explained in 2 episodes
Generalization — 2× in this paper · explained in 13 episodes
Regularization — 2× in this paper · explained in 3 episodes
Representation Learning — 2× in this paper · explained in 2 episodes
Attention Mechanism — 1× in this paper · explained in 2 episodes
Diffusion Model — 1× in this paper · explained in 8 episodes
Diffusion Models — 1× in this paper · explained in 6 episodes
Distillation — 1× in this paper · explained in 2 episodes
Fine-Tuning — 1× in this paper · explained in 5 episodes
Generative AI — 1× in this paper · explained in 2 episodes
Robustness — 1× in this paper · explained in 5 episodes
Systematic Bias — 1× in this paper · explained in 3 episodes
Transfer Learning — 1× in this paper · explained in 10 episodes

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