ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2203.12560
  4. Cited By
DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic
  Change Segmentation

DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation

23 March 2022
Aysim Toker
L. Kondmann
Mark Weber
Marvin Eisenberger
Andrés Camero
Jingliang Hu
Ariadna Pregel Hoderlein
Çaglar Senaras
T. Davis
Daniel Cremers
G. Marchisio
Xiao Xiang Zhu
Laura Leal-Taixé
ArXivPDFHTML

Papers citing "DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation"

17 / 17 papers shown
Title
Towards Efficient Benchmarking of Foundation Models in Remote Sensing: A Capabilities Encoding Approach
Towards Efficient Benchmarking of Foundation Models in Remote Sensing: A Capabilities Encoding Approach
Pierre Adorni
M. Pham
Stéphane May
Sébastien Lefèvre
51
0
0
06 May 2025
The Change You Want To Detect: Semantic Change Detection In Earth Observation With Hybrid Data Generation
The Change You Want To Detect: Semantic Change Detection In Earth Observation With Hybrid Data Generation
Benidir Yanis
Gonthier Nicolas
Mallet Clement
47
1
0
19 Mar 2025
AnomalyCD: A benchmark for Earth anomaly change detection with
  high-resolution and time-series observations
AnomalyCD: A benchmark for Earth anomaly change detection with high-resolution and time-series observations
Jingtao Li
Qian Zhu
Xinyu Wang
Hengwei Zhao
Yanfei Zhong
AI4TS
18
0
0
09 Sep 2024
S4: Self-Supervised Sensing Across the Spectrum
S4: Self-Supervised Sensing Across the Spectrum
Jay Shenoy
Xinjian Davis Zhang
Shlok Mehrotra
Bill Tao
Rem Yang
Han Zhao
Deepak Vasisht
AI4TS
27
2
0
02 May 2024
Evaluating the Efficacy of Cut-and-Paste Data Augmentation in Semantic Segmentation for Satellite Imagery
Evaluating the Efficacy of Cut-and-Paste Data Augmentation in Semantic Segmentation for Satellite Imagery
I. M. Motoi
Leonardo Saraceni
Daniele Nardi
Thomas Alessandro Ciarfuglia
31
1
0
08 Apr 2024
Transformer-based Multimodal Change Detection with Multitask Consistency
  Constraints
Transformer-based Multimodal Change Detection with Multitask Consistency Constraints
Biyuan Liu
Huaixin Chen
Kun Li
Michael Ying Yang
33
14
0
13 Oct 2023
Continuous Cross-resolution Remote Sensing Image Change Detection
Continuous Cross-resolution Remote Sensing Image Change Detection
Hao Chen
Haotian Zhang
Keyan Chen
Chenyao Zhou
Songhang Chen
Zhengxia Zou
Z. Shi
32
22
0
24 May 2023
MapFormer: Boosting Change Detection by Using Pre-change Information
MapFormer: Boosting Change Detection by Using Pre-change Information
Maximilian Bernhard
Niklas Strauß
Matthias Schubert
40
6
0
31 Mar 2023
Changer: Feature Interaction is What You Need for Change Detection
Changer: Feature Interaction is What You Need for Change Detection
Sheng Fang
Kaiyu Li
Zhe Li
43
169
0
17 Sep 2022
Inferring 3D change detection from bitemporal optical images
Inferring 3D change detection from bitemporal optical images
V. Marsocci
V. Coletta
R. Ravanelli
Simone Scardapane
M. Crespi
3DPC
30
19
0
31 May 2022
Continual Barlow Twins: continual self-supervised learning for remote
  sensing semantic segmentation
Continual Barlow Twins: continual self-supervised learning for remote sensing semantic segmentation
V. Marsocci
Simone Scardapane
CLL
36
25
0
23 May 2022
Spatial Context Awareness for Unsupervised Change Detection in Optical
  Satellite Images
Spatial Context Awareness for Unsupervised Change Detection in Optical Satellite Images
L. Kondmann
Aysim Toker
Sudipan Saha
Bernhard Schölkopf
Laura Leal-Taixé
Xiaoxiang Zhu
26
14
0
05 Oct 2021
Panoptic Segmentation of Satellite Image Time Series with Convolutional
  Temporal Attention Networks
Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks
Vivien Sainte Fare Garnot
Loic Landrieu
AI4TS
71
151
0
16 Jul 2021
EarthNet2021: A large-scale dataset and challenge for Earth surface
  forecasting as a guided video prediction task
EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task
C. Requena-Mesa
V. Benson
Markus Reichstein
J. Runge
Joachim Denzler
68
50
0
16 Apr 2021
Object Detection in Aerial Images: A Large-Scale Benchmark and
  Challenges
Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges
Jian Ding
Nan Xue
Guisong Xia
X. Bai
Wen Yang
...
Serge J. Belongie
Jiebo Luo
Mihai Datcu
Marcello Pelillo
L. Zhang
187
388
0
24 Feb 2021
Deep High-Resolution Representation Learning for Visual Recognition
Deep High-Resolution Representation Learning for Visual Recognition
Jingdong Wang
Ke Sun
Tianheng Cheng
Borui Jiang
Chaorui Deng
...
Yadong Mu
Mingkui Tan
Xinggang Wang
Wenyu Liu
Bin Xiao
195
3,531
0
20 Aug 2019
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
446
15,639
0
02 Nov 2015
1