Abstract: Open World Object Detection (OWOD) aims to adapt object detection to an open-world environment, so as to detect unknown objects and learn knowledge incrementally. Existing OWOD methods ...
Say a person takes their French Bulldog, Bowser, to the dog park. Identifying Bowser as he plays among the other canines is easy for the dog owner to do while onsite.
Abstract: Deep learning methods have shown promising achievements, yet require a substantial quantity of training data. In industrial manufacturing scenarios, the training samples for certain defect ...
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