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SSLTransformerRS
Code repository for "Self-supervised Vision Transformers for Land-cover Segmentation and Classification", CVPR EarthVision Workshop 2022 - Best Student Paper AwardIndustrialSmokePlumeDetection
Code Repository for: "Characterization of Industrial Smoke Plumes from Remote Sensing Data", presented at Tackling Climate Change with Machine Learning workshop at NeurIPS 2020.MaskedSST
Code repository for Scheibenreif, L., Mommert, M., & Borth, D. (2023). Masked Vision Transformers for Hyperspectral Image Classification, In CVPRW EarthVision 2023IGARSS2023_EfficientDeepLearningEO
Course materials for the IGARSS 2023 Tutorial "Efficient Deep Learning for Earth Observation"GDA
Code repository for "Parameter Efficient Self-supervised Geospatial Domain Adaptation", CVPR 2024Global-NO2-Estimation
Code repository for "Toward Global Estimation of Ground-Level NO2 Pollution With Deep Learning and Remote Sensing", IEEE TGSRS, 2022RemoteSensingNO2Estimation
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.ben-ge
Official repository of the ben-ge Earth Observation datasetNeurIPS_2021-Weight_Space_Learning
Code Repository for the NeurIPS 2021 paper: "Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction".NeurIPS_2022-Generative_Hyper_Representations
Code Repository for the NeurIPS 2022 paper: "Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights".LabAIML
Lab Materials for the lecture "Introduction to Artificial Intelligence and Machine Learning".sparse-vit-wsss
Code repository for Hanna, J., Mommert, M., & Borth, D. (2023). Sparse Multimodal Vision Transformer for Weakly Supervised Semantic Segmentation, In CVPRW EarthVision 2023SANE
Code Repository for the ICML 2024 paper: "Towards Scalable and Versatile Weight Space Learning".PaperDiscussionClub
AI:ML Paper Discussion ClubLabMLDL
Lab Materials for the lecture "Introduction to Machine Learning and Deep Learning".SelfSupervised
LabML
Lab Materials of the 6,126,1.00 BBWL lecture "Machine Learning".LabGSERM
Lab Materials for the lecture GSERM'21 course "Deep Learning: Fundamentals and Applications".Continual-Text-to-Speech
Continual Text-to-Speech (TTS)HSG-AIML.github.io
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