Xiao Xiang Zhu

research

∙ 01/26/2023

Universal Domain Adaptation for Remote Sensing Image Scene Classification

The domain adaptation (DA) approaches available to date are usually not ...

Qingsong Xu, et al. ∙

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...

Fang Xu, et al. ∙

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...

Yi Wang, et al. ∙

research

∙ 11/01/2022

Geo-Information Harvesting from Social Media Data

As unconventional sources of geo-information, massive imagery and text m...

Xiao Xiang Zhu, et al. ∙

research

∙ 10/24/2022

Exploring Self-Attention for Crop-type Classification Explainability

Automated crop-type classification using Sentinel-2 satellite time serie...

Ivica Obadić, et al. ∙

research

∙ 10/10/2022

EarthNets: Empowering AI in Earth Observation

Earth observation, aiming at monitoring the state of planet Earth using ...

Zhitong Xiong, et al. ∙

research

∙ 09/25/2022

Anomaly Detection in Aerial Videos with Transformers

Unmanned aerial vehicles (UAVs) are widely applied for purposes of inspe...

Pu Jin, et al. ∙

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...

Pu Jin, et al. ∙

research

∙ 09/01/2022

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

High-resolution satellite images can provide abundant, detailed spatial ...

Xin-Yi Tong, et al. ∙

research

∙ 08/04/2022

HPO: We won't get fooled again

Hyperparameter optimization (HPO) is a well-studied research field. Howe...

Kalifou René Traoré, et al. ∙

research

∙ 07/30/2022

Doubly Deformable Aggregation of Covariance Matrices for Few-shot Segmentation

Training semantic segmentation models with few annotated samples has gre...

Zhitong Xiong, et al. ∙

research

∙ 06/27/2022

Self-supervised Learning in Remote Sensing: A Review

In deep learning research, self-supervised learning (SSL) has received g...

Yi Wang, et al. ∙

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...

Nassim Ait Ali Braham, et al. ∙

research

∙ 06/14/2022

Monitoring Urban Forests from Auto-Generated Segmentation Maps

We present and evaluate a weakly-supervised methodology to quantify the ...

Conrad M Albrecht, et al. ∙

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...

Fang Xu, et al. ∙

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 ...

Christoph Koller, et al. ∙

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...

Qingyu Li, et al. ∙

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...

Zhenghang Yuan, et al. ∙

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...

Yi Wang, et al. ∙

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...

Sugandha Doda, et al. ∙

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 ...

Aysim Toker, et al. ∙

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...

Eike Jens Hoffmann, et al. ∙

research

∙ 01/17/2022

Disentangled Latent Transformer for Interpretable Monocular Height Estimation

Monocular height estimation (MHE) from remote sensing imagery has high p...

Zhitong Xiong Sining Chen, et al. ∙

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...

Kalifou René Traoré, et al. ∙

research

∙ 12/30/2021

THE Benchmark: Transferable Representation Learning for Monocular Height Estimation

Generating 3D city models rapidly is crucial for many applications. Mono...

Zhitong Xiong, et al. ∙

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...

Yao Sun, et al. ∙

research

∙ 11/05/2021

A Data-driven Approach to Neural Architecture Search Initialization

Algorithmic design in neural architecture search (NAS) has received a lo...

Kalifou René Traoré, et al. ∙

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 ...

Kalifou René Traoré, et al. ∙

research

∙ 10/11/2021

SurroundNet: Towards Effective Low-Light Image Enhancement

Although Convolution Neural Networks (CNNs) has made substantial progres...

Fei Zhou, et al. ∙

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...

Kalifou René Traoré, et al. ∙

research

∙ 08/04/2021

Under the Radar – Auditing Fairness in ML for Humanitarian Mapping

Humanitarian mapping from space with machine learning helps policy-maker...

Lukas Kondmann, et al. ∙

research

∙ 08/02/2021

Self-supervised Audiovisual Representation Learning for Remote Sensing Data

Many current deep learning approaches make extensive use of backbone net...

Konrad Heidler, et al. ∙

research

∙ 07/07/2021

A Survey of Uncertainty in Deep Neural Networks

Due to their increasing spread, confidence in neural network predictions...

Jakob Gawlikowski, et al. ∙

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...

Jun Li, et al. ∙

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 ...

Yuansheng Hua, et al. ∙

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...

Devis Tuia, et al. ∙

research

∙ 04/07/2021

MultiScene: A Large-scale Dataset and Benchmark for Multi-scene Recognition in Single Aerial Images

Aerial scene recognition is a fundamental research problem in interpreti...

Yuansheng Hua, et al. ∙

research

∙ 03/15/2021

Deep Reinforcement Learning for Band Selection in Hyperspectral Image Classification

Band selection refers to the process of choosing the most relevant bands...

Lichao Mou, et al. ∙

research

∙ 03/02/2021

HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline

Deep learning-based coastline detection algorithms have begun to outshin...

Konrad Heidler, et al. ∙

research

∙ 02/09/2021

Adversarially Robust Classifier with Covariate Shift Adaptation

Existing adversarially trained models typically perform inference on tes...

Jay Nandy, et al. ∙

research

∙ 01/10/2021

Semantic Segmentation of Remote Sensing Images with Sparse Annotations

Training Convolutional Neural Networks (CNNs) for very high resolution i...

Yuansheng Hua, et al. ∙

research

∙ 11/29/2020

Exploring Deep 3D Spatial Encodings for Large-Scale 3D Scene Understanding

Semantic segmentation of raw 3D point clouds is an essential component i...

Saqib Ali Khan, et al. ∙

research

∙ 11/23/2020

Multi-task Learning for Human Settlement Extent Regression and Local Climate Zone Classification

Human Settlement Extent (HSE) and Local Climate Zone (LCZ) maps are both...

Chunping Qiu, et al. ∙

research

∙ 11/17/2020

CG-Net: Conditional GIS-aware Network for Individual Building Segmentation in VHR SAR Images

Object retrieval and reconstruction from very high resolution (VHR) synt...

Yao Sun, et al. ∙

research

∙ 10/05/2020

A Novel Actor Dual-Critic Model for Remote Sensing Image Captioning

We deal with the problem of generating textual captions from optical rem...

Ruchika Chavhan, et al. ∙

research

∙ 08/27/2020

Cross-language sentiment analysis of European Twitter messages duringthe COVID-19 pandemic

Social media data can be a very salient source of information during cri...

Anna Kruspe, et al. ∙

research

∙ 08/03/2020

Generative Adversarial Networks for Synthesizing InSAR Patches

Generative Adversarial Networks (GANs) have been employed with certain s...

Philipp Sibler, et al. ∙

research

∙ 07/17/2020

Spatial-Spectral Manifold Embedding of Hyperspectral Data

In recent years, hyperspectral imaging, also known as imaging spectrosco...

Danfeng Hong, et al. ∙

research

∙ 06/24/2020

X-ModalNet: A Semi-Supervised Deep Cross-Modal Network for Classification of Remote Sensing Data

This paper addresses the problem of semi-supervised transfer learning wi...

Danfeng Hong, et al. ∙

research

∙ 06/22/2020

DiRS: On Creating Benchmark Datasets for Remote Sensing Image Interpretation

The past decade has witnessed great progress on remote sensing (RS) imag...

Yang Long, et al. ∙

Xiao Xiang Zhu

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