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cs.CE2026
Dual-Kernel Adapter: Expanding Spatial Horizons for Data-Constrained Medical Image Analysis
Ziquan Zhu, Hanruo Zhu, Siyuan Lu +8
Adapters have become a widely adopted strategy for efficient fine-tuning of large pretrained models, particularly in resource-constrained settings. However, their performance under…
cs.CE2025
LKA: Large Kernel Adapter for Enhanced Medical Image Classification
Ziquan Zhu, Si-Yuan Lu, Tianjin Huang +2
Despite the notable success of current Parameter-Efficient Fine-Tuning (PEFT) methods across various domains, their effectiveness on medical datasets falls short of expectations. T…