✨GroupEnsemble: Efficient Uncertainty Estimation for DETR-based Object Detection
📝 Summary:
DETR models lack spatial uncertainty and current estimation methods are too costly. GroupEnsemble efficiently estimates uncertainty by using independent query groups in a single forward pass with an attention mask. This outperforms Deep Ensembles at a fraction of the cost.
🔹 Publication Date: Published on Mar 2
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.01847
• PDF: https://arxiv.org/pdf/2603.01847
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For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#ObjectDetection #UncertaintyEstimation #DETR #ComputerVision #MachineLearning
📝 Summary:
DETR models lack spatial uncertainty and current estimation methods are too costly. GroupEnsemble efficiently estimates uncertainty by using independent query groups in a single forward pass with an attention mask. This outperforms Deep Ensembles at a fraction of the cost.
🔹 Publication Date: Published on Mar 2
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.01847
• PDF: https://arxiv.org/pdf/2603.01847
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#ObjectDetection #UncertaintyEstimation #DETR #ComputerVision #MachineLearning