Search Results for author: Conrad M Albrecht

Found 11 papers, 6 papers with code

Feature Guided Masked Autoencoder for Self-supervised Learning in Remote Sensing

1 code implementation28 Oct 2023 Yi Wang, Hugo Hernández Hernández, Conrad M Albrecht, Xiao Xiang Zhu

Self-supervised learning guided by masked image modelling, such as Masked AutoEncoder (MAE), has attracted wide attention for pretraining vision transformers in remote sensing.

Multi-Label Image Classification Self-Supervised Learning

Deep Semantic Model Fusion for Ancient Agricultural Terrace Detection

1 code implementation4 Aug 2023 Yi Wang, Chenying Liu, Arti Tiwari, Micha Silver, Arnon Karnieli, Xiao Xiang Zhu, Conrad M Albrecht

Discovering ancient agricultural terraces in desert regions is important for the monitoring of long-term climate changes on the Earth's surface.

Segmentation Semantic Segmentation

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

no code implementations19 Jun 2023 Shivam Pande, Nassim Ait Ali Braham, Yi Wang, Conrad M Albrecht, Biplab Banerjee, Xiao Xiang Zhu

Recently, to effectively train the deep learning models with minimal labelled samples, the unlabeled samples are also being leveraged in self-supervised and semi-supervised setting.

Pseudo Label

Self-supervised Learning in Remote Sensing: A Review

2 code implementations27 Jun 2022 Yi Wang, Conrad M Albrecht, Nassim Ait Ali Braham, Lichao Mou, Xiao Xiang Zhu

In deep learning research, self-supervised learning (SSL) has received great attention triggering interest within both the computer vision and remote sensing communities.

Multi-Label Image Classification Self-Supervised Learning

Monitoring Urban Forests from Auto-Generated Segmentation Maps

no code implementations14 Jun 2022 Conrad M Albrecht, Chenying Liu, Yi Wang, Levente Klein, Xiao Xiang Zhu

We present and evaluate a weakly-supervised methodology to quantify the spatio-temporal distribution of urban forests based on remotely sensed data with close-to-zero human interaction.

Semantic Segmentation

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

2 code implementations11 Apr 2022 Yi Wang, Conrad M Albrecht, Xiao Xiang Zhu

Experimental results employing the BigEarthNet-MM dataset demonstrate the benefits of both, the ViT backbones and the proposed multimodal SSL algorithm DINO-MM.

Data Augmentation Representation Learning +1

Learning and Recognizing Archeological Features from LiDAR Data

no code implementations5 Apr 2020 Conrad M Albrecht, Chris Fisher, Marcus Freitag, Hendrik F. Hamann, Sharathchandra Pankanti, Florencia Pezzutti, Francesca Rossi

We present a remote sensing pipeline that processes LiDAR (Light Detection And Ranging) data through machine & deep learning for the application of archeological feature detection on big geo-spatial data platforms such as e. g. IBM PAIRS Geoscope.

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