All Beings Are Equal in Open Set Recognition

no code implementations • 31 Jan 2024 • Chaohua Li, Enhao Zhang, Chuanxing Geng, Songcan Chen

In open-set recognition (OSR), a promising strategy is exploiting pseudo-unknown data outside given $K$ known classes as an additional $K$+$1$-th class to explicitly model potential open space.

Contrastive Learning Open Set Learning

VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building [Technical Report]

no code implementations • 7 Mar 2023 • Maureen Daum, Enhao Zhang, Dong He, Stephen Mussmann, Brandon Haynes, Ranjay Krishna, Magdalena Balazinska

We introduce VOCALExplore, a system designed to support users in building domain-specific models over video datasets.

feature selection

Class-Aware Universum Inspired Re-Balance Learning for Long-Tailed Recognition

no code implementations • 26 Jul 2022 • Enhao Zhang, Chuanxing Geng, Songcan Chen

For these issues, we propose the Class-aware Universum Inspired Re-balance Learning(CaUIRL) for long-tailed recognition, which endows the Universum with class-aware ability to re-balance individual minority classes from both sample quantity and quality.

Data Augmentation