Visual perception is crucial for a wide range of applications. Traditionally, visual perception models were developed under a closed-world paradigm, where data distributions and categorical labels were assumed to be fixed and known in advance. However, these closed-world models often prove brittle when deployed in the real open world, which is dynamic, vast, and unpredictable. Modern approaches to visual perception have shifted towards open-world models, such as pretraining foundation models on
Wednesday, June 11, 2025
Visual perception is crucial for a wide range of applications. Traditionally, visual perception models were developed under a closed-world paradigm, where data distributions and categorical labels were assumed to be fixed and known in advance. However, these closed-world models often prove brittle when deployed in the real open world, which is dynamic, vast, and unpredictable. Modern approaches to visual perception have shifted towards open-world models, such as pretraining foundation models on
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