NAN-SPOT detects unknown objects better than retraining-heavy methods by using Negative-Aware Norm from off-the-shelf detectors and introduces the expanded COCO-Open dataset.
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N-BEATS outperformed other models including LSTM and TFT in forecasting time to stability on sparse KATRIN tritium monitoring data.
Synthetic flight data generated by TVAE and Gaussian Copula models supports flight delay prediction models with accuracy comparable to real data.
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Beyond Known Objects: A Novel Framework for Open-Set Object Detection using Negative-Aware Norm
NAN-SPOT detects unknown objects better than retraining-heavy methods by using Negative-Aware Norm from off-the-shelf detectors and introduces the expanded COCO-Open dataset.