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Meta-Sim: Learning to Generate Synthetic Datasets., , , , , , , , and . ICCV, page 4550-4559. IEEE, (2019)Devil Is in the Edges: Learning Semantic Boundaries From Noisy Annotations., , and . CVPR, page 11075-11083. Computer Vision Foundation / IEEE, (2019)DreamTeacher: Pretraining Image Backbones with Deep Generative Models., , , , , , , and . ICCV, page 16652-16662. IEEE, (2023)Learning to Caption Images Through a Lifetime by Asking Questions., , and . ICCV, page 10392-10401. IEEE, (2019)Lifelong Learning for Image Captioning by Asking Natural Language Questions., , and . CoRR, (2018)Nonlinear color triads for approximation, learning and direct manipulation of color distributions., , , and . ACM Trans. Graph., 39 (4): 97 (2020)Fast Interactive Object Annotation With Curve-GCN., , , , and . CVPR, page 5257-5266. Computer Vision Foundation / IEEE, (2019)Object Instance Annotation With Deep Extreme Level Set Evolution., , , , and . CVPR, page 7500-7508. Computer Vision Foundation / IEEE, (2019)Creative Flow+ Dataset., , , , , , and . CVPR, page 5384-5393. Computer Vision Foundation / IEEE, (2019)Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets., , and . CVPR, page 4350-4359. Computer Vision Foundation / IEEE, (2021)