Online Versatile Incremental Learning: Towards Class and Domain-Agnostic Adaptation at Any Time

arXiv:2609.36442 · cs.CV, cs.AI · Submitted 2026-09-29 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-09-29

Updated: 2026-09-29

Code: https://github.com/KU-VGI/Online-VIL

Terminology

Continual Learning — 23× in this paper · explained in 2 episodes
Versatile Incremental Learning — 18× in this paper
Adaptation — 12× in this paper · explained in 1 episode
Flow Matching — 10× in this paper · explained in 8 episodes
Benchmark — 8× in this paper · explained in 2 episodes
Global Topology Preservation — 8× in this paper
Ablation — 7× in this paper · explained in 1 episode
Domain-agnostic Flow Matching — 7× in this paper
Geodesic Flow Kernel — 6× in this paper
Catastrophic Forgetting — 5× in this paper · explained in 5 episodes
Online Continual Learning — 5× in this paper
Transformer — 5× in this paper · explained in 2 episodes
Accuracy — 4× in this paper · explained in 1 episode
Alignment — 4× in this paper · explained in 1 episode
Class Incremental Learning — 4× in this paper
Linear Probing — 4× in this paper · explained in 2 episodes
Ablation study — 3× in this paper · explained in 1 episode
Distribution Shift — 3× in this paper · explained in 5 episodes
Domain Adaptation — 3× in this paper · explained in 5 episodes
Domain Shift — 3× in this paper · explained in 4 episodes
Ablation Studies — 2× in this paper · explained in 1 episode
Clustering — 2× in this paper · explained in 2 episodes
Consistency — 2× in this paper · explained in 3 episodes
Contrastive Learning — 2× in this paper · explained in 5 episodes
Experience Replay — 2× in this paper
Fine-Tuning — 2× in this paper · explained in 5 episodes
Rainbow Memory — 2× in this paper
Regularization — 2× in this paper · explained in 3 episodes
alpha — 2× in this paper · explained in 1 episode
Abstraction — 1× in this paper · explained in 1 episode
Adam — 1× in this paper · explained in 2 episodes
Adaptability — 1× in this paper · explained in 1 episode
Benchmarking — 1× in this paper · explained in 3 episodes
Cosine Similarity — 1× in this paper · explained in 3 episodes
Exponential Moving Average (EMA) — 1× in this paper · explained in 2 episodes
Few-Shot Learning — 1× in this paper · explained in 4 episodes
Generalization — 1× in this paper · explained in 13 episodes
Meta-learning — 1× in this paper · explained in 2 episodes
Non-stationarity — 1× in this paper · explained in 2 episodes
Representation Learning — 1× in this paper · explained in 2 episodes
Robustness — 1× in this paper · explained in 5 episodes
Structural Integrity — 1× in this paper · explained in 3 episodes
World Model — 1× in this paper · explained in 7 episodes

Sources

Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference

Terminology

Sources

Related papers