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"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction., , , , and . CHI, page 250:1-250:17. ACM, (2023)HIVE: Evaluating the Human Interpretability of Visual Explanations., , , , and . CoRR, (2021)Re Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias., , , and . CoRR, (2021)ICON2: Reliably Benchmarking Predictive Inequity in Object Detection., , , and . CoRR, (2023)Beyond web-scraping: Crowd-sourcing a geographically diverse image dataset., , , , , , and . CoRR, (2023)SiRi: A Simple Selective Retraining Mechanism for Transformer-Based Visual Grounding., , , , , , , and . ECCV (35), volume 13695 of Lecture Notes in Computer Science, page 546-562. Springer, (2022)Efficient, Self-Supervised Human Pose Estimation with Inductive Prior Tuning., and . ICCV (Workshops), page 3263-3272. IEEE, (2023)Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation., , , and . CVPR Workshops, page 4000-4004. Computer Vision Foundation / IEEE, (2020)A Steiner tree approach to efficient object detection., and . CVPR, page 1070-1077. IEEE Computer Society, (2010)Attribute Learning in Large-Scale Datasets., and . ECCV Workshops (1), volume 6553 of Lecture Notes in Computer Science, page 1-14. Springer, (2010)