CM-UNet: Hybrid CNN-Mamba UNet for Remote Sensing Image Semantic Segmentation

1 code implementation • 17 May 2024 • Mushui Liu, Jun Dan, Ziqian Lu, Yunlong Yu, Yingming Li, Xi Li

In this paper, we propose CM-UNet, comprising a CNN-based encoder for extracting local image features and a Mamba-based decoder for aggregating and integrating global information, facilitating efficient semantic segmentation of remote sensing images.

Decoder Segmentation +1

SYNC-CLIP: Synthetic Data Make CLIP Generalize Better in Data-Limited Scenarios

1 code implementation • 6 Dec 2023 • Mushui Liu, Weijie He, Ziqian Lu, Yunlong Yu

Prompt learning is a powerful technique for transferring Vision-Language Models (VLMs) such as CLIP to downstream tasks.