uncv2023.github.io - Workshop on Uncertainty Quantification for Computer Vision

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Description: ICCV 2023 Workshop on Uncertainty Quantification for Computer Vision.

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ICCV 2023 Workshop

In the last decade, substantial progress has been made w.r.t. the performance of computer vision systems, a significant part of it thanks to deep learning. These advancements prompted sharp community growth and a rise in industrial investment. However, most current models lack the ability to reason about the confidence of their predictions; integrating uncertainty quantification into vision systems will help recognize failure scenarios and enable robust applications.

In addition to advances in Bayesian deep learning, providing practical approaches for vision problems, the workshop will provide a forum for discussing promising research directions, which have received less attention, as well as advancing current practices to drive future research. Examples include: the development of new metrics that reflect the real-world need for uncertainty when using vision systems with down-stream tasks; and moving beyond point-estimates to address the multi-modal ambiguities inheren

Links to uncv2023.github.io (5)

• abursuc.github.io Andrei Bursuc | valeo.ai
• virajprabhu.github.io Viraj Prabhu
• ndfcampbell.org Neill Campbell : Home
• xuanlong-yu.github.io About me - Xuanlong Yu
• virajprabhu.com Viraj Prabhu