BigEarthNet-MM: A Large-Scale, Multimodal, Multilabel Benchmark Archive for Remote Sensing Image Classification and Retrieval [Software and Data Sets]
PulseAugur coverage of BigEarthNet-MM: A Large-Scale, Multimodal, Multilabel Benchmark Archive for Remote Sensing Image Classification and Retrieval [Software and Data Sets] — every cluster mentioning BigEarthNet-MM: A Large-Scale, Multimodal, Multilabel Benchmark Archive for Remote Sensing Image Classification and Retrieval [Software and Data Sets] across labs, papers, and developer communities, ranked by signal.
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New conformal inference method tackles label noise in machine learning
Researchers have developed a new method for conformal inference that addresses the challenge of label noise in machine learning datasets. This adaptive technique ensures accurate uncertainty quantification and provides …
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MEOX model uses compact multimodal experts for Earth Observation tasks
Researchers have introduced MEOX, a compact multimodal model designed for Earth Observation tasks. This model utilizes a mixture-of-experts architecture with a relatively small parameter count, incorporating sensor-spec…
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New curriculum learning strategy boosts remote sensing AI efficiency
Researchers have developed a new curriculum learning strategy for self-supervised learning in remote sensing. This method prioritizes samples based on their geographic isolation, a metric derived solely from geolocation…