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Name: Artificial Intelligence & Machine Learning (AIML Lab) @ HSG
Type: Organization
Bio: Deep Learning Research by AIML Lab @ HSG
Location: St.Gallen
Blog: www.hsg.ai
Name: Artificial Intelligence & Machine Learning (AIML Lab) @ HSG
Type: Organization
Bio: Deep Learning Research by AIML Lab @ HSG
Location: St.Gallen
Blog: www.hsg.ai
Official repository of the ben-ge Earth Observation dataset
Code repository for "Parameter Efficient Self-supervised Geospatial Domain Adaptation", CVPR 2024
Code repository for "Toward Global Estimation of Ground-Level NO2 Pollution With Deep Learning and Remote Sensing", IEEE TGSRS, 2022
HSG-AIML research website
Course materials for the IGARSS 2023 Tutorial "Efficient Deep Learning for Earth Observation"
Code Repository for: "Characterization of Industrial Smoke Plumes from Remote Sensing Data", presented at Tackling Climate Change with Machine Learning workshop at NeurIPS 2020.
Code repository for Scheibenreif, L., Mommert, M., & Borth, D. (2023). Masked Vision Transformers for Hyperspectral Image Classification, In CVPRW EarthVision 2023
Code Repository for the NeurIPS 2021 paper: "Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction".
Code Repository for the NeurIPS 2022 paper: "Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights".
Code Repository for: "Multitask Learning for Estimating Power Plant Greenhouse Gas Emissions from Satellite Imagery" from NeurIPS 2021 Workshop on "Tackling Climate Change with Machine Learning"
Estimation of Air Pollution with Remote Sensing Data: Revealing Greenhouse Gas Emissions from Space, presented at Tackling Climate Change with Machine Learning workshop at ICML 2021.
Code Repository for the ICML 2024 paper: "Towards Scalable and Versatile Weight Space Learning".
Code repository for Hanna, J., Mommert, M., & Borth, D. (2023). Sparse Multimodal Vision Transformer for Weakly Supervised Semantic Segmentation, In CVPRW EarthVision 2023
Code repository for "Self-supervised Vision Transformers for Land-cover Segmentation and Classification", CVPR EarthVision Workshop 2022 - Best Student Paper Award
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