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FlowNet: Learning Optical Flow with Convolutional Networks, , , , , , , , and . (2015)cite arxiv:1504.06852Comment: Added supplementary material.Fairness Indicators for Systematic Assessments of Visual Feature Extractors., , , , and . FAccT, page 70-88. ACM, (2022)Towards measuring fairness in AI: the Casual Conversations dataset., , , , , and . CoRR, (2021)The Bias of Harmful Label Associations in Vision-Language Models., , , and . CoRR, (2024)Pinpointing Why Object Recognition Performance Degrades Across Income Levels and Geographies., , , , , and . CoRR, (2023)Towards Measuring Fairness in Speech Recognition: Casual Conversations Dataset Transcriptions., , , , , , , , , and . ICASSP, page 6162-6166. IEEE, (2022)Localized Uncertainty Attacks., , , , , and . CoRR, (2021)A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others., , , , , , , and . CVPR, page 20071-20082. IEEE, (2023)Generating High Fidelity Data from Low-density Regions using Diffusion Models., , , , and . CVPR, page 11482-11491. IEEE, (2022)Casual Conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness., , , , , , , , , and 2 other author(s). CoRR, (2022)