Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Yarici, Yavuz"'
Autor:
Prabhushankar, Mohit, Kokilepersaud, Kiran, Quesada, Jorge, Yarici, Yavuz, Zhou, Chen, Alotaibi, Mohammad, AlRegib, Ghassan, Mustafa, Ahmad, Kumakov, Yusufjon
Crowdsourcing annotations has created a paradigm shift in the availability of labeled data for machine learning. Availability of large datasets has accelerated progress in common knowledge applications involving visual and language data. However, spe
Externí odkaz:
http://arxiv.org/abs/2408.11185
Self-supervised models create representation spaces that lack clear semantic meaning. This interpretability problem of representations makes traditional explainability methods ineffective in this context. In this paper, we introduce a novel method to
Externí odkaz:
http://arxiv.org/abs/2406.06930
Taxes Are All You Need: Integration of Taxonomical Hierarchy Relationships into the Contrastive Loss
In this work, we propose a novel supervised contrastive loss that enables the integration of taxonomic hierarchy information during the representation learning process. A supervised contrastive loss operates by enforcing that images with the same cla
Externí odkaz:
http://arxiv.org/abs/2406.06848
In this work, we present a methodology to shape a fisheye-specific representation space that reflects the interaction between distortion and semantic context present in this data modality. Fisheye data has the wider field of view advantage over other
Externí odkaz:
http://arxiv.org/abs/2305.00079