Dynamic Multi-Context Segmentation of Remote Sensing Images based on
Convolutional Networks

Dynamic Multi-Context Segmentation of Remote Sensing Images based on Convolutional Networks

11 April 2018

Keiller Nogueira

Jocelyn Chanussot

William R. Schwartz

J. A. dos Santos

Papers citing "Dynamic Multi-Context Segmentation of Remote Sensing Images based on Convolutional Networks"

7 / 7 papers shown

Title
Core-Set Selection for Data-efficient Land Cover Segmentation Keiller Nogueira Akram Zaytar Wanli Ma R. Roscher Ronny Hansch ... Simone Fobi Nsutezo Rahul Dodhia J. L. Ferres Oktay Karakuş Paul L. Rosin 31 0 0 02 May 2025
SSG2: A new modelling paradigm for semantic segmentation F. Diakogiannis S. Furby P. Caccetta Xiaoliang Wu Rodrigo Ibata O. Hlinka John Taylor VLM 22 0 0 12 Oct 2023
Self-Training Guided Disentangled Adaptation for Cross-Domain Remote Sensing Image Semantic Segmentation Qi Zhao Shuchang Lyu Binghao Liu Lijiang Chen Hongbo Zhao 10 18 0 13 Jan 2023
Panchromatic and Multispectral Image Fusion via Alternating Reverse Filtering Network Keyu Yan Man Zhou Jie Huang Fengmei Zhao Chengjun Xie Chongyi Li Danfeng Hong 32 16 0 15 Oct 2022
UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene Imagery Libo Wang Rui Li Ce Zhang Shenghui Fang Chenxi Duan Xiaoliang Meng P. M. Atkinson ViT 38 623 0 18 Sep 2021
An End-to-end Framework For Low-Resolution Remote Sensing Semantic Segmentation M. B. Pereira J. A. dos Santos 6 11 0 17 Mar 2020
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling Vijay Badrinarayanan Ankur Handa R. Cipolla SSeg 161 788 0 27 May 2015