Xiao Xiang Zhu | DeepAI

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research ∙ 09/20/2023

Self-supervised Domain-agnostic Domain Adaptation for Satellite Images

Domain shift caused by, e.g., different geographical regions or acquisit... 0 Fahong Zhang, et al. ∙ share research ∙ 09/14/2023

Towards Large-scale Building Attribute Mapping using Crowdsourced Images: Scene Text Recognition on Flickr and Problems to be Solved

Crowdsourced platforms provide huge amounts of street-view images that c... 0 Yao Sun, et al. ∙ share research ∙ 09/04/2023

Categorising the World into Local Climate Zones – Towards Quantifying Labelling Uncertainty for Machine Learning Models

Image classification is often prone to labelling uncertainty. To generat... 0 Katharina Hechinger, et al. ∙ share research ∙ 08/04/2023

Deep Semantic Model Fusion for Ancient Agricultural Terrace Detection

Discovering ancient agricultural terraces in desert regions is important... 0 Yi Wang, et al. ∙ share research ∙ 08/02/2023

UCDFormer: Unsupervised Change Detection Using a Transformer-driven Image Translation

Change detection (CD) by comparing two bi-temporal images is a crucial t... 0 Qingsong Xu, et al. ∙ share research ∙ 07/07/2023

A Deep Active Contour Model for Delineating Glacier Calving Fronts

Choosing how to encode a real-world problem as a machine learning task i... 0 Konrad Heidler, et al. ∙ share research ∙ 06/19/2023

Semi-Supervised Learning for hyperspectral images by non parametrically predicting view assignment

Hyperspectral image (HSI) classification is gaining a lot of momentum in... 0 Shivam Pande, et al. ∙ share research ∙ 06/16/2023

DisasterNets: Embedding Machine Learning in Disaster Mapping

Disaster mapping is a critical task that often requires on-site experts ... 0 Qingsong Xu, et al. ∙ share research ∙ 06/14/2023

RRSIS: Referring Remote Sensing Image Segmentation

Localizing desired objects from remote sensing images is of great use in... 0 Zhenghang Yuan, et al. ∙ share research ∙ 06/01/2023

Overcoming Language Bias in Remote Sensing Visual Question Answering via Adversarial Training

The Visual Question Answering (VQA) system offers a user-friendly interf... 0 Zhenghang Yuan, et al. ∙ share research ∙ 05/15/2023

Artificial intelligence to advance Earth observation: a perspective

Earth observation (EO) is a prime instrument for monitoring land and oce... 0 Devis Tuia, et al. ∙ share research ∙ 05/08/2023

High Quality Large-Scale 3-D Urban Mapping with Multi-Master TomoSAR

Multi-baseline interferometric synthetic aperture radar (InSAR) techniqu... 0 Yilei Shi, et al. ∙ share research ∙ 05/04/2023

The Politics of Language Choice: How the Russian-Ukrainian War Influences Ukrainians' Language Use on Twitter

The use of language is innately political and often a vehicle of cultura... 0 Daniel Racek, et al. ∙ share research ∙ 04/11/2023

UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series

Clouds and haze often occlude optical satellite images, hindering contin... 0 Patrick Ebel, et al. ∙ share research ∙ 04/07/2023

Multilingual Augmentation for Robust Visual Question Answering in Remote Sensing Images

Aiming at answering questions based on the content of remotely sensed im... 0 Zhenghang Yuan, et al. ∙ share research ∙ 01/26/2023

Universal Domain Adaptation for Remote Sensing Image Scene Classification

The domain adaptation (DA) approaches available to date are usually not ... 0 Qingsong Xu, et al. ∙ share research ∙ 01/09/2023

High-Resolution Cloud Removal with Multi-Modal and Multi-Resolution Data Fusion: A New Baseline and Benchmark

In this paper, we introduce Planet-CR, a benchmark dataset for high-reso... 0 Fang Xu, et al. ∙ share research ∙ 11/13/2022

SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation

Self-supervised pre-training bears potential to generate expressive repr... 0 Yi Wang, et al. ∙ share research ∙ 11/01/2022

Geo-Information Harvesting from Social Media Data

As unconventional sources of geo-information, massive imagery and text m... 0 Xiao Xiang Zhu, et al. ∙ share research ∙ 10/24/2022

Exploring Self-Attention for Crop-type Classification Explainability

Automated crop-type classification using Sentinel-2 satellite time serie... 0 Ivica Obadić, et al. ∙ share research ∙ 10/10/2022

EarthNets: Empowering AI in Earth Observation

Earth observation, aiming at monitoring the state of planet Earth using ... 8 Zhitong Xiong, et al. ∙ share research ∙ 09/25/2022

Anomaly Detection in Aerial Videos with Transformers

Unmanned aerial vehicles (UAVs) are widely applied for purposes of inspe... 0 Pu Jin, et al. ∙ share research ∙ 09/22/2022

FuTH-Net: Fusing Temporal Relations and Holistic Features for Aerial Video Classification

Unmanned aerial vehicles (UAVs) are now widely applied to data acquisiti... 0 Pu Jin, et al. ∙ share research ∙ 09/01/2022

Enabling Country-Scale Land Cover Mapping with Meter-Resolution Satellite Imagery

High-resolution satellite images can provide abundant, detailed spatial ... 5 Xin-Yi Tong, et al. ∙ share research ∙ 08/04/2022

HPO: We won't get fooled again

Hyperparameter optimization (HPO) is a well-studied research field. Howe... 0 Kalifou René Traoré, et al. ∙ share research ∙ 07/30/2022

Doubly Deformable Aggregation of Covariance Matrices for Few-shot Segmentation

Training semantic segmentation models with few annotated samples has gre... 4 Zhitong Xiong, et al. ∙ share research ∙ 06/27/2022

Self-supervised Learning in Remote Sensing: A Review

In deep learning research, self-supervised learning (SSL) has received g... 17 Yi Wang, et al. ∙ share research ∙ 06/24/2022

Self Supervised Learning for Few Shot Hyperspectral Image Classification

Deep learning has proven to be a very effective approach for Hyperspectr... 0 Nassim Ait Ali Braham, et al. ∙ share research ∙ 06/14/2022

Monitoring Urban Forests from Auto-Generated Segmentation Maps

We present and evaluate a weakly-supervised methodology to quantify the ... 8 Conrad M Albrecht, et al. ∙ share research ∙ 06/06/2022

Exploring the Potential of SAR Data for Cloud Removal in Optical Satellite Imagery

The challenge of the cloud removal task can be alleviated with the aid o... 0 Fang Xu, et al. ∙ share research ∙ 05/30/2022

Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty Improve Model Performance?

Technological and computational advances continuously drive forward the ... 0 Christoph Koller, et al. ∙ share research ∙ 05/17/2022

Semi-Supervised Building Footprint Generation with Feature and Output Consistency Training

Accurate and reliable building footprint maps are vital to urban plannin... 0 Qingyu Li, et al. ∙ share research ∙ 05/06/2022

From Easy to Hard: Learning Language-guided Curriculum for Visual Question Answering on Remote Sensing Data

Visual question answering (VQA) for remote sensing scene has great poten... 0 Zhenghang Yuan, et al. ∙ share research ∙ 04/11/2022

Self-supervised Vision Transformers for Joint SAR-optical Representation Learning

Self-supervised learning (SSL) has attracted much interest in remote sen... 10 Yi Wang, et al. ∙ share research ∙ 04/07/2022

So2Sat POP – A Curated Benchmark Data Set for Population Estimation from Space on a Continental Scale

Obtaining a dynamic population distribution is key to many decision-maki... 0 Sugandha Doda, et al. ∙ share research ∙ 03/23/2022

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

Earth observation is a fundamental tool for monitoring the evolution of ... 13 Aysim Toker, et al. ∙ share research ∙ 02/15/2022

Using Social Media Images for Building Function Classification

Urban land use on a building instance level is crucial geo-information f... 0 Eike Jens Hoffmann, et al. ∙ share research ∙ 01/17/2022

Landscape of Neural Architecture Search across sensors: how much do they differ ?

With the rapid rise of neural architecture search, the ability to unders... 0 Kalifou René Traoré, et al. ∙ share research ∙ 12/30/2021

THE Benchmark: Transferable Representation Learning for Monocular Height Estimation

Generating 3D city models rapidly is crucial for many applications. Mono... 4 Zhitong Xiong, et al. ∙ share research ∙ 11/18/2021

Large-scale Building Height Retrieval from Single SAR Imagery based on Bounding Box Regression Networks

Building height retrieval from synthetic aperture radar (SAR) imagery is... 0 Yao Sun, et al. ∙ share research ∙ 11/05/2021

A Data-driven Approach to Neural Architecture Search Initialization

Algorithmic design in neural architecture search (NAS) has received a lo... 0 Kalifou René Traoré, et al. ∙ share research ∙ 11/02/2021

Fitness Landscape Footprint: A Framework to Compare Neural Architecture Search Problems

Neural architecture search is a promising area of research dedicated to ... 0 Kalifou René Traoré, et al. ∙ share research ∙ 10/11/2021

SurroundNet: Towards Effective Low-Light Image Enhancement

Although Convolution Neural Networks (CNNs) has made substantial progres... 3 Fei Zhou, et al. ∙ share research ∙ 08/20/2021

Lessons from the Clustering Analysis of a Search Space: A Centroid-based Approach to Initializing NAS

Lots of effort in neural architecture search (NAS) research has been ded... 0 Kalifou René Traoré, et al. ∙ share research ∙ 08/04/2021

Under the Radar – Auditing Fairness in ML for Humanitarian Mapping

Humanitarian mapping from space with machine learning helps policy-maker... 38 Lukas Kondmann, et al. ∙ share research ∙ 08/02/2021

Self-supervised Audiovisual Representation Learning for Remote Sensing Data

Many current deep learning approaches make extensive use of backbone net... 3 Konrad Heidler, et al. ∙ share research ∙ 07/07/2021

A Survey of Uncertainty in Deep Neural Networks

Due to their increasing spread, confidence in neural network predictions... 29 Jakob Gawlikowski, et al. ∙ share research ∙ 04/29/2021

A lightweight deep learning based cloud detection method for Sentinel-2A imagery fusing multi-scale spectral and spatial features

Clouds are a very important factor in the availability of optical remote... 8 Jun Li, et al. ∙ share research ∙ 04/22/2021

Aerial Scene Understanding in The Wild: Multi-Scene Recognition via Prototype-based Memory Networks

Aerial scene recognition is a fundamental visual task and has attracted ... 7 Yuansheng Hua, et al. ∙ share research ∙ 04/11/2021

Towards a Collective Agenda on AI for Earth Science Data Analysis

In the last years we have witnessed the fields of geosciences and remote... 0 Devis Tuia, et al. ∙ share

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