TADIL: Task-Agnostic Domain-Incremental Learning through Task-ID Inference using Transformer Nearest-Centroid Embeddings
It uses a novel pipeline to detect and identify tasks in domain-incremental learning scenarios without supervision, addressing the challenge of data diversity and distribution shift common in autonomous driving data.