Search Results for author: Shunyi Zheng

Found 9 papers, 8 papers with code

AMMUNet: Multi-Scale Attention Map Merging for Remote Sensing Image Segmentation

1 code implementation20 Apr 2024 Yang Yang, Shunyi Zheng

The advancement of deep learning has driven notable progress in remote sensing semantic segmentation.

Computational Efficiency Image Segmentation +1

Few-shot semantic segmentation via mask aggregation

1 code implementation15 Feb 2022 Wei Ao, Shunyi Zheng, Yan Meng

In this paper, we introduce a mask-based classification method for addressing this problem.

Classification Few-Shot Semantic Segmentation +2

A2-FPN for Semantic Segmentation of Fine-Resolution Remotely Sensed Images

2 code implementations16 Feb 2021 Rui Li, Shunyi Zheng, Ce Zhang, Chenxi Duan, Libo Wang

Based on FPN and AAM, a novel framework named Attention Aggregation Feature Pyramid Network (A2-FPN) is developed for semantic segmentation of fine-resolution remotely sensed images.

Decision Making Scene Understanding +2

Multi-stage Attention ResU-Net for Semantic Segmentation of Fine-Resolution Remote Sensing Images

1 code implementation29 Nov 2020 Rui Li, Shunyi Zheng, Chenxi Duan, Jianlin Su, Ce Zhang

The attention mechanism can refine the extracted feature maps and boost the classification performance of the deep network, which has become an essential technique in computer vision and natural language processing.

Computational Efficiency Semantic Segmentation

Multi-Attention-Network for Semantic Segmentation of Fine Resolution Remote Sensing Images

no code implementations3 Sep 2020 Rui Li, Shunyi Zheng, Chenxi Duan, Ce Zhang, Jianlin Su, P. M. Atkinson

A novel attention mechanism of kernel attention with linear complexity is proposed to alleviate the large computational demand in attention.

Management Segmentation +1

Land Cover Classification from Remote Sensing Images Based on Multi-Scale Fully Convolutional Network

1 code implementation1 Aug 2020 Rui Li, Shunyi Zheng, Chenxi Duan, Ce Zhang

In this paper, a Multi-Scale Fully Convolutional Network (MSFCN) with multi-scale convolutional kernel is proposed to exploit discriminative representations from two-dimensional (2D) satellite images.

General Classification Land Cover Classification

Linear Attention Mechanism: An Efficient Attention for Semantic Segmentation

2 code implementations29 Jul 2020 Rui Li, Jianlin Su, Chenxi Duan, Shunyi Zheng

In this paper, to remedy this deficiency, we propose a Linear Attention Mechanism which is approximate to dot-product attention with much less memory and computational costs.

Semantic Segmentation

MACU-Net for Semantic Segmentation of Fine-Resolution Remotely Sensed Images

2 code implementations26 Jul 2020 Rui Li, Chenxi Duan, Shunyi Zheng, Ce Zhang, Peter M. Atkinson

In this Letter, we incorporate multi-scale features generated by different layers of U-Net and design a multi-scale skip connected and asymmetric-convolution-based U-Net (MACU-Net), for segmentation using fine-resolution remotely sensed images.

Decoder Image Segmentation +4

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