P-MSDiff: Parallel Multi-Scale Diffusion for Remote Sensing Image Segmentation

no code implementations • 30 May 2024 • Qi Zhang, Guohua Geng, Longquan Yan, Pengbo Zhou, Zhaodi Li, Kang Li, Qinglin Liu

This adjustment enhances the structure for multi-head attention computation, leading to enhanced network performance and CBLA is a plug-and-play module.

End-to-End Human Instance Matting

1 code implementation • 3 Mar 2024 • Qinglin Liu, Shengping Zhang, Quanling Meng, Bineng Zhong, Peiqiang Liu, Hongxun Yao

Finally, an instance matting network decodes the image features and united semantics guidance to predict all instance-level alpha mattes.

Image Matting Instance Segmentation +1

Dual-Context Aggregation for Universal Image Matting

1 code implementation • 28 Feb 2024 • Qinglin Liu, Xiaoqian Lv, Wei Yu, Changyong Guo, Shengping Zhang

However, existing matting methods are designed for specific objects or guidance, neglecting the common requirement of aggregating global and local contexts in image matting.

Image Matting

Revisiting Context Aggregation for Image Matting

1 code implementation • 3 Apr 2023 • Qinglin Liu, Xiaoqian Lv, Quanling Meng, Zonglin Li, Xiangyuan Lan, Shuo Yang, Shengping Zhang, Liqiang Nie

Furthermore, AEMatter leverages a large image training strategy to assist the network in learning context aggregation from data.

Decoder Image Matting

Long-Range Feature Propagating for Natural Image Matting

1 code implementation • 25 Sep 2021 • Qinglin Liu, Haozhe Xie, Shengping Zhang, Bineng Zhong, Rongrong Ji

Finally, we use the matting module which takes the image, trimap and context features to estimate the alpha matte.

Image Matting