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Fanping Liu

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Jul 2026

Benchmarking Foundation and Large Language Models for Few-Shot Medical Image Segmentation

FAME is introduced, a unified benchmark for evaluating FS-MIS solutions, covering specialists, SAM-based methods, CLIP-based methods, and MLLM-based methods, and evaluates models under zero-shot and ten-shot settings with additional assessment of target-absence recognition and generalization under covariate and semanti...

Jinghong Liu, Yuchuan Deng, Fan-Ping Liu et al. · 0 citations
Jul 2026

Dual-dimension modulation aggregation network for lightweight image super-resolution

A lightweight dual-dimension modulation aggregation network, which combines channel-wise and spatial feature interactions to achieve more accurate reconstruction, and shows that DMANet achieves competitive reconstruction performance with lower model complexity and runtime overhead.

Fanping Liu, Bendu Bai · 0 citations

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