An object-level novelty detection method combining dense feature fine-tuning and masked knowledge distillation sets new AUROC records on multi-object Pascal VOC and COCO benchmarks.
In: Pro- ceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recogni- tion
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Redefining Normal: A Novel Object-Level Approach for Multi-Object Novelty Detection
An object-level novelty detection method combining dense feature fine-tuning and masked knowledge distillation sets new AUROC records on multi-object Pascal VOC and COCO benchmarks.