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EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and
  Land Cover Classification

EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification

31 August 2017
P. Helber
B. Bischke
Andreas Dengel
Damian Borth
ArXivPDFHTML

Papers citing "EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification"

31 / 231 papers shown
Title
Self-Supervised Material and Texture Representation Learning for Remote
  Sensing Tasks
Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks
Peri Akiva
Matthew Purri
Matthew J. Leotta
SSL
19
58
0
03 Dec 2021
Revisiting the Transferability of Supervised Pretraining: an MLP
  Perspective
Revisiting the Transferability of Supervised Pretraining: an MLP Perspective
Yizhou Wang
Shixiang Tang
Feng Zhu
Lei Bai
Rui Zhao
Donglian Qi
Wanli Ouyang
21
51
0
01 Dec 2021
Task2Sim : Towards Effective Pre-training and Transfer from Synthetic
  Data
Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data
Samarth Mishra
Rameswar Panda
Cheng Perng Phoo
Chun-Fu Chen
Leonid Karlinsky
Kate Saenko
Venkatesh Saligrama
Rogerio Feris
24
33
0
30 Nov 2021
Florence: A New Foundation Model for Computer Vision
Florence: A New Foundation Model for Computer Vision
Lu Yuan
Dongdong Chen
Yi-Ling Chen
Noel Codella
Xiyang Dai
...
Zhen Xiao
Jianwei Yang
Michael Zeng
Luowei Zhou
Pengchuan Zhang
VLM
24
878
0
22 Nov 2021
Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language
  Modeling
Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling
Renrui Zhang
Rongyao Fang
Wei Zhang
Peng Gao
Kunchang Li
Jifeng Dai
Yu Qiao
Hongsheng Li
VLM
186
385
0
06 Nov 2021
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
Andreas Fürst
Elisabeth Rumetshofer
Johannes Lehner
Viet-Hung Tran
Fei Tang
...
David P. Kreil
Michael K Kopp
G. Klambauer
Angela Bitto-Nemling
Sepp Hochreiter
VLM
CLIP
199
102
0
21 Oct 2021
Learning Rich Nearest Neighbor Representations from Self-supervised
  Ensembles
Learning Rich Nearest Neighbor Representations from Self-supervised Ensembles
Bram Wallace
Devansh Arpit
Huan Wang
Caiming Xiong
SSL
OOD
22
0
0
19 Oct 2021
Rethinking Supervised Pre-training for Better Downstream Transferring
Rethinking Supervised Pre-training for Better Downstream Transferring
Yutong Feng
Jianwen Jiang
Mingqian Tang
R. L. Jin
Yue Gao
SSL
43
39
0
12 Oct 2021
CLIP-Adapter: Better Vision-Language Models with Feature Adapters
CLIP-Adapter: Better Vision-Language Models with Feature Adapters
Peng Gao
Shijie Geng
Renrui Zhang
Teli Ma
Rongyao Fang
Yongfeng Zhang
Hongsheng Li
Yu Qiao
VLM
CLIP
60
982
0
09 Oct 2021
Exploring the Limits of Large Scale Pre-training
Exploring the Limits of Large Scale Pre-training
Samira Abnar
Mostafa Dehghani
Behnam Neyshabur
Hanie Sedghi
AI4CE
55
114
0
05 Oct 2021
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLM
CLIP
VLM
325
2,263
0
02 Sep 2021
Tune It or Don't Use It: Benchmarking Data-Efficient Image
  Classification
Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification
Lorenzo Brigato
Björn Barz
Luca Iocchi
Joachim Denzler
30
16
0
30 Aug 2021
Improve Unsupervised Pretraining for Few-label Transfer
Improve Unsupervised Pretraining for Few-label Transfer
Suichan Li
Dongdong Chen
Yinpeng Chen
Lu Yuan
Lei Zhang
Qi Chu
B. Liu
Nenghai Yu
SSL
8
20
0
26 Jul 2021
The Benchmark Lottery
The Benchmark Lottery
Mostafa Dehghani
Yi Tay
A. Gritsenko
Zhe Zhao
N. Houlsby
Fernando Diaz
Donald Metzler
Oriol Vinyals
34
89
0
14 Jul 2021
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with
  Unlabeled Data
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data
Ashraful Islam
Chun-Fu Chen
Rameswar Panda
Leonid Karlinsky
Rogerio Feris
Richard J. Radke
28
84
0
14 Jun 2021
Scaling Vision with Sparse Mixture of Experts
Scaling Vision with Sparse Mixture of Experts
C. Riquelme
J. Puigcerver
Basil Mustafa
Maxim Neumann
Rodolphe Jenatton
André Susano Pinto
Daniel Keysers
N. Houlsby
MoE
12
575
0
10 Jun 2021
Contrasting Contrastive Self-Supervised Representation Learning
  Pipelines
Contrasting Contrastive Self-Supervised Representation Learning Pipelines
Klemen Kotar
Gabriel Ilharco
Ludwig Schmidt
Kiana Ehsani
Roozbeh Mottaghi
SSL
23
45
0
25 Mar 2021
A Broad Study on the Transferability of Visual Representations with
  Contrastive Learning
A Broad Study on the Transferability of Visual Representations with Contrastive Learning
Ashraful Islam
Chun-Fu Chen
Rameswar Panda
Leonid Karlinsky
Richard J. Radke
Rogerio Feris
SSL
18
112
0
24 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
98
27,632
0
26 Feb 2021
How Well Do Self-Supervised Models Transfer?
How Well Do Self-Supervised Models Transfer?
Linus Ericsson
H. Gouk
Timothy M. Hospedales
SSL
30
274
0
26 Nov 2020
Cross-Domain Few-Shot Learning by Representation Fusion
Cross-Domain Few-Shot Learning by Representation Fusion
Thomas Adler
Johannes Brandstetter
Michael Widrich
Andreas Mayr
David P. Kreil
Michael K Kopp
G. Klambauer
Sepp Hochreiter
OOD
17
44
0
13 Oct 2020
Double Targeted Universal Adversarial Perturbations
Double Targeted Universal Adversarial Perturbations
Philipp Benz
Chaoning Zhang
Tooba Imtiaz
In So Kweon
AAML
35
48
0
07 Oct 2020
Remote Sensing Image Scene Classification with Self-Supervised Paradigm
  under Limited Labeled Samples
Remote Sensing Image Scene Classification with Self-Supervised Paradigm under Limited Labeled Samples
Chao Tao
Ji Qi
Weipeng Lu
Hao Wang
Haifeng Li
SSL
13
100
0
02 Oct 2020
On Robustness and Transferability of Convolutional Neural Networks
On Robustness and Transferability of Convolutional Neural Networks
Josip Djolonga
Jessica Yung
Michael Tschannen
Rob Romijnders
Lucas Beyer
...
D. Moldovan
Sylvain Gelly
N. Houlsby
Xiaohua Zhai
Mario Lucic
OOD
8
153
0
16 Jul 2020
Self-Supervised Prototypical Transfer Learning for Few-Shot
  Classification
Self-Supervised Prototypical Transfer Learning for Few-Shot Classification
Carlos Medina
A. Devos
Matthias Grossglauser
SSL
18
50
0
19 Jun 2020
Agriculture-Vision: A Large Aerial Image Database for Agricultural
  Pattern Analysis
Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis
M. Chiu
Xingqian Xu
Yunchao Wei
Zilong Huang
A. Schwing
...
David Wilson
Adrian Tudor
N. Hovakimyan
Thomas S. Huang
Humphrey Shi
35
152
0
05 Jan 2020
A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in
  Different Image Domains
A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains
Lyndon Chan
Mahdi S. Hosseini
Konstantinos N. Plataniotis
21
97
0
24 Dec 2019
Deep Discriminative Representation Learning with Attention Map for Scene
  Classification
Deep Discriminative Representation Learning with Attention Map for Scene Classification
Jun Yu Li
Daoyu Lin
Yang Wang
Guangluan Xu
C. Ding
20
81
0
21 Feb 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
Begum Demir
Volker Markl
16
441
0
16 Feb 2019
Unsupervised Deep Features for Remote Sensing Image Matching via
  Discriminator Network
Unsupervised Deep Features for Remote Sensing Image Matching via Discriminator Network
Fnu Mohbat
Numan Khurshid
M. Taj
8
15
0
15 Oct 2018
Fine-Grained Land Use Classification at the City Scale Using
  Ground-Level Images
Fine-Grained Land Use Classification at the City Scale Using Ground-Level Images
Yi Zhu
XueQing Deng
Shawn D. Newsam
23
51
0
07 Feb 2018
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