Titlebook: Computer Vision – ECCV 2022 Workshops; Tel Aviv, Israel, Oc Leonid Karlinsky,Tomer Michaeli,Ko Nishino Conference proceedings 2023 The Edit

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Hydra Attention: Efficient Attention with?Many Headsinear in both tokens and features with no hidden constants, making it significantly faster than standard self-attention in an off-the-shelf ViT-B/16 by a factor of the token count. Moreover, Hydra Attention retains high accuracy on ImageNet and, in some cases, actually . it.

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Power Awareness in?Low Precision Neural Networksand can also be used during training to achieve improved performance. Unlike previous methods, PANN incurs only a minor degradation in accuracy w.r.t.?the full-precision version of the network and enables to seamlessly traverse the power-accuracy trade-off at deployment time.

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Image Illumination Enhancement for?Construction Worker Pose Estimation in?Low-light Conditions worker pose estimation. In addition, the proposed UIRE-Net restores image brightness without relying on image pairs. A testing experiment based on nighttime construction workers is conducted to validate the veracity.

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PriSeg: IFC-Supported Primitive Instance Geometry Segmentation with?Unsupervised Clusteringe descriptor and unsupervised clustering algorithm. The proposed solution is robust in real complex environments, such as point clouds are noisy with high occlusions and clutter, the as-built status deviates from the as-designed model in terms of position, orientation, and scale.

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0302-9743 xt in Everything; W14 - BioImage Computing; W15 - Visual Object-Oriented Learning Meets Interaction: Discovery, Representations, and Applications; W16 - AI for 978-3-031-25081-1978-3-031-25082-8Series ISSN 0302-9743 Series E-ISSN 1611-3349