Abstract: Remote sensed mapping data and seafloor in-situ imagery are often gathered to infer benthic habitat distributions. However, leveraging multimodal data is challenging because of inherent ...

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At export, I set a few custom classes that I would like the model to detect at inference. However, I seem unable to extract the predictions for those custom classes from the resulting outputs. gRPC ...

Abstract: Continual learning is a challenging problem in which models need to be trained on non-stationary data across sequential tasks for class-incremental learning. While previous methods have ...