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Semantic Segmentation of Remote Sensing Images with Sparse Annotations

Semantic Segmentation of Remote Sensing Images with Sparse Annotations

10 January 2021
Yuansheng Hua
Diego Marcos
Lichao Mou
Xiaoxiang Zhu
D. Tuia
ArXivPDFHTML

Papers citing "Semantic Segmentation of Remote Sensing Images with Sparse Annotations"

23 / 23 papers shown
Title
FOCUS on Contamination: A Geospatial Deep Learning Framework with a Noise-Aware Loss for Surface Water PFAS Prediction
FOCUS on Contamination: A Geospatial Deep Learning Framework with a Noise-Aware Loss for Surface Water PFAS Prediction
Jowaria Khan
Alexa Friedman
Sydney Evans
Runzi Wang
Kaley Beins
David Andrews
Elizabeth Bondi-Kelly
AI4CE
34
0
0
17 Feb 2025
User Willingness-aware Sales Talk Dataset
User Willingness-aware Sales Talk Dataset
Asahi Hentona
Jun Baba
Shiki Sato
Reina Akama
27
0
0
27 Dec 2024
Performance of Human Annotators in Object Detection and Segmentation of
  Remotely Sensed Data
Performance of Human Annotators in Object Detection and Segmentation of Remotely Sensed Data
Roni Blushtein-Livnon
T. Svoray
Michael Dorman
27
1
0
16 Sep 2024
Segment Using Just One Example
Segment Using Just One Example
Pratik Vora
Sudipan Saha
VLM
19
1
0
14 Aug 2024
Specialized Change Detection using Segment Anything
Specialized Change Detection using Segment Anything
Tahir Ahmad
Sudipan Saha
24
0
0
13 Aug 2024
Spannotation: Enhancing Semantic Segmentation for Autonomous Navigation
  with Efficient Image Annotation
Spannotation: Enhancing Semantic Segmentation for Autonomous Navigation with Efficient Image Annotation
Samuel O. Folorunsho
William R. Norris
19
0
0
28 Feb 2024
PixelDINO: Semi-Supervised Semantic Segmentation for Detecting
  Permafrost Disturbances
PixelDINO: Semi-Supervised Semantic Segmentation for Detecting Permafrost Disturbances
Konrad Heidler
Ingmar Nitze
Guido Grosse
Xiao Xiang Zhu
11
3
0
17 Jan 2024
The Segment Anything Model (SAM) for Remote Sensing Applications: From
  Zero to One Shot
The Segment Anything Model (SAM) for Remote Sensing Applications: From Zero to One Shot
L. Osco
Qiusheng Wu
Eduardo Lopes de Lemos
W. Gonçalves
A. P. Ramos
Jonathan Li
J. M. Junior
VLM
16
179
0
29 Jun 2023
Land Cover Segmentation with Sparse Annotations from Sentinel-2 Imagery
Land Cover Segmentation with Sparse Annotations from Sentinel-2 Imagery
Marco Galatola
Edoardo Arnaudo
Luca Barco
Claudio Rossi
F. Dominici
15
0
0
28 Jun 2023
Artificial intelligence to advance Earth observation: a perspective
Artificial intelligence to advance Earth observation: a perspective
D. Tuia
Konrad Schindler
Begum Demir
Gustau Camps-Valls
Xiao Xiang Zhu
...
Mihai Datcu
Jorge-Arnulfo Quiané-Ruiz
Volker Markl
Bertrand Le Saux
Rochelle Schneider
31
10
0
15 May 2023
Handling Image and Label Resolution Mismatch in Remote Sensing
Handling Image and Label Resolution Mismatch in Remote Sensing
Scott Workman
Armin Hadzic
M. U. Rafique
30
5
0
28 Nov 2022
RAIS: Robust and Accurate Interactive Segmentation via Continual
  Learning
RAIS: Robust and Accurate Interactive Segmentation via Continual Learning
Yuying Hao
Yi Liu
Juncai Peng
Haoyi Xiong
Guowei Chen
Shiyu Tang
Zeyu Chen
Baohua Lai
OOD
3DV
VLM
14
3
0
20 Oct 2022
Habitat classification from satellite observations with sparse
  annotations
Habitat classification from satellite observations with sparse annotations
Mikko Impio
Pekka. Harma
A. Tammilehto
S. Anttila
Jenni Raitoharju
15
0
0
26 Sep 2022
Self-supervised Learning in Remote Sensing: A Review
Self-supervised Learning in Remote Sensing: A Review
Yi Wang
C. Albrecht
Nassim Ait Ali Braham
Lichao Mou
Xiao Xiang Zhu
19
218
0
27 Jun 2022
Point Label Aware Superpixels for Multi-species Segmentation of
  Underwater Imagery
Point Label Aware Superpixels for Multi-species Segmentation of Underwater Imagery
Scarlett Raine
Ross Marchant
Brano Kusy
Frederic Maire
Tobias Fischer
17
13
0
27 Feb 2022
Universal Adversarial Examples in Remote Sensing: Methodology and
  Benchmark
Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark
Yonghao Xu
Pedram Ghamisi
AAML
22
71
0
14 Feb 2022
Consistency-Regularized Region-Growing Network for Semantic Segmentation
  of Urban Scenes with Point-Level Annotations
Consistency-Regularized Region-Growing Network for Semantic Segmentation of Urban Scenes with Point-Level Annotations
Yonghao Xu
Pedram Ghamisi
11
37
0
08 Feb 2022
Scribble-based Boundary-aware Network for Weakly Supervised Salient
  Object Detection in Remote Sensing Images
Scribble-based Boundary-aware Network for Weakly Supervised Salient Object Detection in Remote Sensing Images
Zhou Huang
Tianyi Xiang
Huaixin Chen
Hang Dai
28
30
0
07 Feb 2022
DIAL: Deep Interactive and Active Learning for Semantic Segmentation in
  Remote Sensing
DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote Sensing
Gaston Lenczner
Adrien Chan-Hon-Tong
Bertrand Le Saux
Nicola Luminari
G. L. Besnerais
10
35
0
04 Jan 2022
Weakly-supervised continual learning for class-incremental segmentation
Weakly-supervised continual learning for class-incremental segmentation
Gaston Lenczner
Adrien Chan-Hon-Tong
Nicola Luminari
Bertrand Le Saux
CLL
11
4
0
04 Jan 2022
Segmentation of VHR EO Images using Unsupervised Learning
Segmentation of VHR EO Images using Unsupervised Learning
Sudipan Saha
Lichao Mou
Muhammad Shahzad
Xiao Xiang Zhu
8
1
0
09 Jul 2021
Multi-task fully convolutional network for tree species mapping in dense
  forests using small training hyperspectral data
Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data
L. E. L. Rosa
Camile Sothe
R. Feitosa
C. Almeida
M. B. Schimalski
Dario Augusto Borges Oliveira
6
42
0
01 Jun 2021
A Review on Deep Learning in UAV Remote Sensing
A Review on Deep Learning in UAV Remote Sensing
L. Osco
J. M. Junior
A. P. Ramos
L. Jorge
S. Fatholahi
J. Silva
E. Matsubara
H. Pistori
W. Gonçalves
Jonathan Li
AI4Cl
36
341
0
22 Jan 2021
1