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PANDAS: Prototype-based Novel Class Discovery and Detection
Feb. 28, 2024, 5:46 a.m. | Tyler L. Hayes, C\'esar R. de Souza, Namil Kim, Jiwon Kim, Riccardo Volpi, Diane Larlus
cs.CV updates on arXiv.org arxiv.org
Abstract: Object detectors are typically trained once and for all on a fixed set of classes. However, this closed-world assumption is unrealistic in practice, as new classes will inevitably emerge after the detector is deployed in the wild. In this work, we look at ways to extend a detector trained for a set of base classes so it can i) spot the presence of novel classes, and ii) automatically enrich its repertoire to be able to …
abstract arxiv class cs.ai cs.cv detection discovery look novel pandas practice set type will work world
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