CDAD-Net: Bridging Domain Gaps in Generalized Category Discovery

In Generalized Category Discovery (GCD), we cluster unlabeled samples of known and novel classes, leveraging a training dataset of known classes. A salient challenge arises due to domain shifts between these datasets. To address this, we present a novel setting: Across Domain Generalized Category Di...

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Veröffentlicht in:	arXiv.org 2024-04
Hauptverfasser:	Rongali, Sai Bhargav, Mehrotra, Sarthak, Jha, Ankit, Mohamad, Hassan N, Bose, Shirsha, Gupta, Tanisha, Singha, Mainak, Banerjee, Biplab
Format:	Artikel
Sprache:	eng
Schlagworte:	Datasets Learning Prototypes
Online-Zugang:	Volltext
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