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Embedding Earth: Self-supervised contrastive pre-training for dense land cover classification

Embedding Earth: Self-supervised contrastive pre-training for dense land cover classification

Michail Tarasiou
Stefanos Zafeiriou
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ArXiv (abs)PDFHTMLGithub (182★)

Papers citing "Embedding Earth: Self-supervised contrastive pre-training for dense land cover classification"

4 / 4 papers shown
Title
Global and Dense Embeddings of Earth: Major TOM Floating in the Latent Space
Global and Dense Embeddings of Earth: Major TOM Floating in the Latent Space
Mikolaj Czerkawski
Marcin Kluczek
Jędrzej S. Bojanowski
165
1
0
07 Dec 2024
PhilEO Bench: Evaluating Geo-Spatial Foundation Models
PhilEO Bench: Evaluating Geo-Spatial Foundation Models
Casper Fibaek
Luke Camilleri
Andreas Luyts
Nikolaos Dionelis
B. L. Saux
100
17
0
09 Jan 2024
ViTs for SITS: Vision Transformers for Satellite Image Time Series
ViTs for SITS: Vision Transformers for Satellite Image Time Series
Michail Tarasiou
Erik Chavez
Stefanos Zafeiriou
ViT
86
56
0
12 Jan 2023
Semantic-aware Dense Representation Learning for Remote Sensing Image Change Detection
Semantic-aware Dense Representation Learning for Remote Sensing Image Change Detection
Hao Chen
Wenyuan Li
Songhang Chen
Zhenwei Shi
96
39
0
27 May 2022

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