Remembering by Reconstructing: Domain Incremental Learning With Test-Time Training on Video Streams 事件

Remembering by Reconstructing: Domain Incremental Learning With Test-Time Training on Video Streams arXiv:2605.31108v1 Announce Type: new Abstract: In this work we introduce a novel approach to domain incremental learning, adapting models over time to evolving, non-stationary data. In contrast to other works, we do not attempt to avoid catastrophic forgetting, but rather allow it and exploit it. Our model combines a main task head with a self-supervised masked autoencoder (MAE) head. We then le