SEMA
We constructed a novel indoor dataset VDT-2048-5i for the three-modal images few-shot semantic
segmentation task. We also proposed a Self-Enhanced Mixed Attention Network (SEMANet), which
consists of a Self-Enhanced module (SE) and a Mixed Attention module (MA).
Download the dataset and code
The dataset and code are available at:https://pan.baidu.com/s/1jrhIqOnFbjHcgAcoCPl2jw?pwd=8gya
Paper
https://www.mdpi.com/1424-8220/23/14/6612
Citation
Song, K.; Zhang, Y.; Bao, Y.; Zhao, Y.; Yan, Y. Self-Enhanced Mixed Attention Network for Three-Modal Images Few-Shot Semantic Segmentation. Sensors 2023, 23, 6612.
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