Discover how advances in Novel Class Discovery (NCD) algorithms are unlocking new possibilities in solving NCD problems even in realistic scenarios.
Authors: Troisemaine Colin, Department of Computer Science, IMT Atlantique, Brest, France., and Orange Labs, Lannion, France; Reiffers-Masson Alexandre, Department of Computer Science, IMT Atlantique, Brest, France.; Gosselin Stephane, Orange Labs, Lannion, France; Lemaire Vincent, Orange Labs, Lannion, France; Vaton Sandrine, Department of Computer Science, IMT Atlantique, Brest, France.
Zhong, Z., Zhu, L., Luo, Z., Li, S., Yang, Y., Sebe, N.: Openmix: Reviving known knowledge for discovering novel visual categories in an open world. In: CVPR, pp. 9462–9470 Zhong, Z., Fini, E., Roy, S., Luo, Z., Ricci, E., Sebe, N.: Neighborhood contrastive learning for novel class discovery. In: CVPR Sun, Y., Shi, Z., Liang, Y., Li, Y.: When and how does known class help discover unknown ones? provable understanding through spectral analysis. In: ICML, vol. 202, pp. 33014–33043 Li, Z.
Arvai, K.: kneed. Zenodo . https://doi.org/10.5281/zenodo.7873825 This paper is available on arxiv under CC 4.0 license. Authors: Troisemaine Colin, Department of Computer Science, IMT Atlantique, Brest, France., and Orange Labs, Lannion, France; Reiffers-Masson Alexandre, Department of Computer Science, IMT Atlantique, Brest, France.
Zhong, Z., Zhu, L., Luo, Z., Li, S., Yang, Y., Sebe, N.: Openmix: Reviving known knowledge for discovering novel visual categories in an open world. In: CVPR, pp. 9462–9470 Zhong, Z., Fini, E., Roy, S., Luo, Z., Ricci, E., Sebe, N.: Neighborhood contrastive learning for novel class discovery. In: CVPR Sun, Y., Shi, Z., Liang, Y., Li, Y.: When and how does known class help discover unknown ones? provable understanding through spectral analysis. In: ICML, vol. 202, pp. 33014–33043 Li, Z.
Arvai, K.: kneed. Zenodo . https://doi.org/10.5281/zenodo.7873825 This paper is available on arxiv under CC 4.0 license. This paper is available on arxiv under CC 4.0 license. available on arxiv
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