Semantic Labeling in Very High Resolution Images via a Self-Cascaded Convolutional Neural Network

30 July 2018

Papers citing "Semantic Labeling in Very High Resolution Images via a Self-Cascaded Convolutional Neural Network"

8 / 8 papers shown

Title
Feature-Augmented Deep Networks for Multiscale Building Segmentation in High-Resolution UAV and Satellite Imagery Chintan B. Maniyar Minakshi Kumar Gengchen Mai 51 0 0 08 May 2025
Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Wei Long Yongjun Zhang Zhongwei Cui Yujie Xu Xuexue Zhang 85 11 0 14 Jan 2025
A Contrastive Learning Scheme with Transformer Innate Patches S. Jyhne Per-Arne Andersen Morten Goodwin Olsen ViT 37 0 0 26 Mar 2023
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 43 629 0 18 Sep 2021
A hierarchical deep learning framework for the consistent classification of land use objects in geospatial databases Chun Yang Franz Rottensteiner Christian Heipke 33 20 0 14 Apr 2021
ABCNet: Attentive Bilateral Contextual Network for Efficient Semantic Segmentation of Fine-Resolution Remote Sensing Images Rui Li Chenxi Duan SSeg 19 152 0 04 Feb 2021
Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery XueQing Deng Yi Zhu Yuxin Tian Shawn D. Newsam 21 24 0 08 Dec 2020
ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data F. Diakogiannis F. Waldner P. Caccetta Chen Wu SSeg 38 1,285 0 01 Apr 2019