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A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification.

, , , and . ICLR, OpenReview.net, (2023)

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Abstract: Reformulating COPD Classification on Chest CT Scans as Anomaly Detection using Contrastive Representations - cOOpD., , , , , , , , , and . Bildverarbeitung für die Medizin, page 115. Springer, (2024)Toward Realistic Evaluation of Deep Active Learning Algorithms in Image Classification., , , and . CoRR, (2023)Conditional Invertible Neural Networks for Diverse Image-to-Image Translation., , , , , and . CoRR, (2021)Unsupervised Anomaly Detection in the Wild., , , , , and . Bildverarbeitung für die Medizin, page 26-31. Springer, (2022)Embarrassingly Simple Scribble Supervision for 3D Medical Segmentation., , , , , , , , , and . CoRR, (2024)ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation., , , , and . ICLR, OpenReview.net, (2024)A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification., , , and . ICLR, OpenReview.net, (2023)CRADL: Contrastive Representations for Unsupervised Anomaly Detection and Localization., , , , , , and . CoRR, (2023)Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment., , , and . NeurIPS, (2023)Contrastive Representations for Unsupervised Anomaly Detection and Localization., , , , , and . Bildverarbeitung für die Medizin, page 246-252. Springer, (2023)