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Northwest University of China, This work was supported in part by the National Natural Science Foundation of China under Grant 62202234, 62372128, 62401270, 62502215, U22B2062, 62172232; China Postdoctoral Science Foundation under Grant 2023M741778; Natural Science Foundation of Guangdong Province under Grant 2023A1515011575; Nanjing Major Science and Technology Special Project under Grant 202405002. (Corresponding author: Zhangjie Fu
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Synthetic data quality takes a leap forward: IST-CATS generates images so good, they outperform traditional semi/weakly-supervised methods in object detection and semantic segmentation.