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MLRSNet: A Multi-label High Spatial Resolution Remote Sensing Dataset
  for Semantic Scene Understanding

MLRSNet: A Multi-label High Spatial Resolution Remote Sensing Dataset for Semantic Scene Understanding

1 October 2020
Xiaoman Qi
P. Zhu
Yuebin Wang
Liqiang Zhang
Junhuan Peng
Mengfan Wu
Jialong Chen
Xudong Zhao
Ning Zang
P. Mathiopoulos
ArXiv (abs)PDFHTMLGithub (39★)

Papers citing "MLRSNet: A Multi-label High Spatial Resolution Remote Sensing Dataset for Semantic Scene Understanding"

20 / 20 papers shown
Title
A Contrastive Learning Foundation Model Based on Perfectly Aligned Sample Pairs for Remote Sensing Images
A Contrastive Learning Foundation Model Based on Perfectly Aligned Sample Pairs for Remote Sensing Images
Hengtong Shen
Haiyan Gu
Haitao Li
Yi Yang
Agen qiu
SSL
136
0
0
26 May 2025
CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-trained Models
Shengzhuang Chen
Yikai Liao
Xiaoxiao Sun
Kede Ma
Ying Wei
117
0
0
06 Mar 2025
EarthView: A Large Scale Remote Sensing Dataset for Self-Supervision
EarthView: A Large Scale Remote Sensing Dataset for Self-Supervision
Diego A. Velázquez
Pau Rodríguez López
Sergio Alonso
Josep M. Gonfaus
Jordi Gonzalez
Gerardo Richarte
Javier Marin
Yoshua Bengio
Alexandre Lacoste
98
1
0
14 Jan 2025
A Novel Graph-Theoretic Deep Representation Learning Method for
  Multi-Label Remote Sensing Image Retrieval
A Novel Graph-Theoretic Deep Representation Learning Method for Multi-Label Remote Sensing Image Retrieval
Gencer Sumbul
Begüm Demir
52
9
0
01 Jun 2021
SEN12MS -- A Curated Dataset of Georeferenced Multi-Spectral
  Sentinel-1/2 Imagery for Deep Learning and Data Fusion
SEN12MS -- A Curated Dataset of Georeferenced Multi-Spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion
M. Schmitt
Lloyd H. Hughes
C. Qiu
Xiaoxiang Zhu
61
260
0
18 Jun 2019
BigEarthNet: A Large-Scale Benchmark Archive For Remote Sensing Image
  Understanding
BigEarthNet: A Large-Scale Benchmark Archive For Remote Sensing Image Understanding
Gencer Sumbul
Marcela Charfuelan
Begüm Demir
Volker Markl
94
454
0
16 Feb 2019
Multi-Evidence Filtering and Fusion for Multi-Label Classification,
  Object Detection and Semantic Segmentation Based on Weakly Supervised
  Learning
Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning
Weifeng Ge
Sibei Yang
Yizhou Yu
85
190
0
26 Feb 2018
A Unified Model for Near and Remote Sensing
A Unified Model for Near and Remote Sensing
Scott Workman
Menghua Zhai
David J. Crandall
Nathan Jacobs
64
59
0
09 Aug 2017
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Chen Sun
Abhinav Shrivastava
Saurabh Singh
Abhinav Gupta
VLM
207
2,406
0
10 Jul 2017
Remote Sensing Image Scene Classification: Benchmark and State of the
  Art
Remote Sensing Image Scene Classification: Benchmark and State of the Art
Gong Cheng
Junwei Han
Xiaoqiang Lu
106
2,264
0
01 Mar 2017
Multi-Label Image Classification with Regional Latent Semantic
  Dependencies
Multi-Label Image Classification with Regional Latent Semantic Dependencies
Junjie Zhang
Qi Wu
Chunhua Shen
Jian Zhang
Jianfeng Lu
85
166
0
04 Dec 2016
YouTube-8M: A Large-Scale Video Classification Benchmark
YouTube-8M: A Large-Scale Video Classification Benchmark
Sami Abu-El-Haija
Nisarg Kothari
Joonseok Lee
Apostol Natsev
G. Toderici
Balakrishnan Varadarajan
Sudheendra Vijayanarasimhan
VLM
153
1,272
0
27 Sep 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
793
36,881
0
25 Aug 2016
AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene
  Classification
AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification
Gui-Song Xia
Jingwen Hu
Fan Hu
Baoguang Shi
X. Bai
Yanfei Zhong
Liangpei Zhang
82
1,725
0
18 Aug 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
1.1K
11,644
0
06 Apr 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,426
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DVBDL
886
27,416
0
02 Dec 2015
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder
  Architectures for Scene Understanding
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding
Alex Kendall
Vijay Badrinarayanan
R. Cipolla
UQCVBDL
92
1,066
0
09 Nov 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,508
0
04 Sep 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
429
43,814
0
01 May 2014
1