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Optimizing Rank-Based Metrics With Blackbox Differentiation.

, , , , , and . CVPR, page 7617-7627. Computer Vision Foundation / IEEE, (2020)

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ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness., , , , , and . CoRR, (2018)Closing the Generalization Gap in One-Shot Object Detection., , and . CoRR, (2020)Iterative weakly supervised learning for novel class object detection., , and . Tiny Papers @ ICLR, OpenReview.net, (2023)Shortcut Learning in Deep Neural Networks., , , , , , and . CoRR, (2020)One-Shot Segmentation in Clutter., , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 3546-3555. PMLR, (2018)Why Machine Learning Models Fail: A Benchmarking Perspective.. University of Tübingen, Germany, (2024)ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness., , , , , and . ICLR, OpenReview.net, (2019)Optimizing Rank-based Metrics with Blackbox Differentiation., , , , , and . CoRR, (2019)One-Shot Instance Segmentation., , , and . CoRR, (2018)Optimizing Rank-Based Metrics With Blackbox Differentiation., , , , , and . CVPR, page 7617-7627. Computer Vision Foundation / IEEE, (2020)