#artificial intelligence
Oct 2025
Memory-Free Continual Learning with Null Space Adaptation for Zero-Shot Vision-Language Models
Experiments show that the NuSA-CL framework not only effectively preserves zero-shot transfer capabilities but also achieves highly competitive performance on continual learning benchmarks, positioning NuSA-CL as a practical and scalable solution for continually evolving zero-shot VLMs in real-world applications.
Yujin Jo, Taesup Kim
· arXiv.org · 2 citations