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Memory-Free Continual Learning with Null Space Adaptation for Zero-Shot Vision-Language Models
Pre-trained vision-language models (VLMs), such as CLIP, have demonstrated remarkable zero-shot generalization, enabling deployment in a wide range of real-world tasks without additional task-specific training. However, in real deployment scenarios with evolving environments or emerging classes, the
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