main webpage W Topic Rayon arXiv (Cornell University) Informative Data Selection with Uncertainty for Multi-modal Object Detection 2023 Noise has always been nonnegligible trouble in object detection by creating confusion in model reasoning, thereby reducing the informativeness of the data. It can lead to inaccurate recognition due to the shift in the observed pattern, that requires a robust … Article Open Rayon Open Article Page

Rayon

Cellulose-based semi-synthetic fiber Rayon , also called viscose and commercialised in some countries as sabra silk or cactus silk , is a semi-synthetic fiber, made from natural sources of regenerated cellulose, such as wood and related agricultural products. It has the same molecular structure as cellulose. Many types and grades of viscose fibers and films exist. Some imitate the feel and texture of natural fibers such as silk, wool, cotton, and linen. The types that resemble silk are often called artificial silk. It is used to make textiles for clothing and other purposes. Rayon production involves solubilizing cellulose to allow turning the fibers into required form. Critical Symbolic Virtual Narrative Open Rayon Open Article Page

Exploring foci of: arXiv (Cornell University) Informative Data Selection with Uncertainty for Multi-modal Object Detection 2023 Noise has always been nonnegligible trouble in object detection by creating confusion in model reasoning, thereby reducing the informativeness of the data. It can lead to inaccurate recognition due to the shift in the observed pattern, that requires a robust generalization of the models. To implement a general vision model, we need to develop deep learning models that can adaptively select valid information from multi-modal data. This is mainly based on two reasons. Multi-modal learning can break through the inher… Open Article Page

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Explore Rayon W Topic Rayon arXiv (Cornell University) Informative Data Selection with Uncertainty for Multi-modal Object Detection 2023 Noise has always been nonnegligible trouble in object detection by creating confusion in model reasoning, thereby reducing the informativeness of the data. It can lead to inaccurate recognition due to the shift in the observed pattern, that requires a robust … Article Critical Symbolic Virtual Narrative Open Rayon Open Article Page