ActiveAugment: Online Active Learning for Augmentation Selection in Deep Learning

arXiv:2608.28923 · cs.CV, cs.AI · Submitted 2026-08-28 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-08-28

Updated: 2026-08-28

Comments: Accepted at BMVC2026

Code: https://github.com/noahvide/ActiveAugment

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

Terminology

• Active Learning — 2× in this paper · explained in 6 episodes
• Adaptability — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Domain Shift — 1× in this paper · explained in 4 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Linear Probing — 1× in this paper · explained in 2 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

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