P predictive Prompting (PrePrompt) is proposed, a novel CIL framework that circumvents correlation-based limitations by leveraging the inherent classification ability of pre-trained models to predict task-specific prompts and decomposes CIL into a two-stage prediction process: task-specific prompt prediction followed b...
Li-Bo Huang, Xiang-Qi Li, Jia-Rui Zhao et al.· Proceedings of the 32nd ACM...· 4 citations
DA-Nav is proposed, a Direction-Aware vision-language Navigation framework that reformulates navigation as a discrete spatial grounding problem on the egocentric 2D image plane, outperforming existing State-of-The-Art (SoTA) methods while maintaining a substantially stronger recovery capability.
Ye Yuan, Kehan Chen, Xinqiang Yu et al.· arXiv.org· 0 citations
Prompt-based learning has emerged as a promising paradigm for Class Incremental Learning (CIL), enabling pre-trained models to adapt efficiently to open-world scenarios. Existing methods often employ correlation-based strategies, where an image's feature serves as a query to retrieve the most relevant key prompts, with...
Libo Huang, Xiangqi Li, Jiarui Zhao et al.· Proceedings of the 32nd ACM...· 0 citations
RSIAT significantly outperforms state-of-the-art methods in both performance and parameter efficiency, achieving superior stability–plasticity trade-offs with minimal trainable parameters.
Jiarui Zhao, Libo Huang, Xiangqi Li et al.· 0 citations
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