Abstract: During the pandemic period, which involved the years 2020 to 2022, many activities that were carried out in person were forced to adapt to the virtual model, providing a challenge for ...
Abstract: Open-world class-agnostic object detection aims to localize all objects in images regardless of whether their categories are known during training. Most existing studies focus on unannotated ...
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