In this work, we propose an uncertainty-aware fusion scheme to effectively fuse inputs that might suffer from a range of known and unknown degradation. Specifically, we analyze a number of uncertainty measures, each of which captures a different aspect of uncertainty, and we propose a novel ...
Numerous innovative uncertainty-aware methods have been developed, including new model architectures, loss functions, and training procedures for capturing uncertainty52. Handling uncertainty is crucial for building precise and trustworthy machine learning systems. Kuleshov et al.53 proposed a simple approach...
Uncertainty-aware pseudo label refinery for domain adaptive semantic segmentation. In ICCV, 2021. 2 [67] Benjamin Wilson, William Qi, Tanmay Agarwal, John Lambert, Jagjeet Singh, Siddhesh Khandelwal, Bowen Pan, Ratnesh Kumar, Andrew Hartnett, Jhony Kaesemodel Pontes, et al. Argoverse 2: Nex...
Uncertainty-Aware Deep Multi-View Photometric Stereo Berk Kaya1 Suryansh Kumar1* Carlos Oliveira1 Vittorio Ferrari2 Luc Van Gool1,3 ETH Zürich1, Google Research2, KU Leuven3 Abstract This paper presents a simple and effective solution to the longstanding classical multi-view photometric ...
populations, enhancing their applicability in various medical contexts. Importantly, this uncertainty-aware GDL method does not merely provide black-box predictions, but it also quantifies the level of uncertainty associated with each prediction, thereby facilitating a more nuanced understanding of the ...
Putting together two ideas of hybrid model-based successor feature (MB-SF) and uncertainty leads to an approach to the problem of sample efficient uncertainty-aware knowledge transfer across tasks with different transition dynamics or/and reward functions. In this paper, the uncertainty of the value...
Attention-Guided Hierarchical Fusion U-Net for Uncertainty-driven Medical Image Segmentation - AfsanaAhmedMunia/AHF-Fusion-U-Net
Abdar, M., et al.: A review of uncertainty quantification in deep learning: techniques, applications and challenges. Inf. Fusion76, 243–297 (2021) ArticleGoogle Scholar Durso-Finley, J., et al.: Personalized prediction of future lesion activity and treatment effect in multiple sclerosis from...
Uncertainty-aware flexibility modeling and aggregation with high accuracy. • Indicator to compute the risk of insufficient flexibility potentials. • Application of the developed methods to households and renewable energy communities. Abstract The increasing share of volatile renewables in power systems ...
Mutual Information-calibrated Conformal Feature Fusion for Uncertainty-Aware Multimodal 3D Object Detection at the Edge 18 Sep 2023 · Alex C. Stutts, Danilo Erricolo, Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi · Edit social preview In the expanding landscape of AI-enabled robotics, ...