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20232025
most citedTraining Like a Medical Resident: Context-Prior Learning Toward Universal Medical Image Segmentation

9 citations · 10 across the 5 of their papers we have counts for

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Showing 2024Show all

2 papers · 1 filter

cs.CV2024

Resolving Inconsistent Semantics in Multi-Dataset Image Segmentation

Qilong Zhangli, Di Liu, Abhishek Aich +2

Leveraging multiple training datasets to scale up image segmentation models is beneficial for increasing robustness and semantic understanding. Individual datasets have well-define…

cs.LG2024★ 1 cited

Implicit In-context Learning

Zhuowei Li, Zihao Xu, Ligong Han +5

In-context Learning (ICL) empowers large language models (LLMs) to swiftly adapt to unseen tasks at inference-time by prefixing a few demonstration examples before queries. Despite…