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publications

OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning

Published in CVPR, 2024

We propose the OrCo framework built on two core principles: orthogonality in the representation space, and contrastive learning.

Recommended citation: Ahmed, Noor, Anna Kukleva, and Bernt Schiele. "OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning." 41st IEEE/CVF Conference on Computer Vision and Pattern Recognition https://arxiv.org/pdf/2403.18550

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

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