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Jun 23, 2024 · The proposed method expresses deformable template matching process in a CNN UM-tailored manner, by pro- viding appropriate ways for data representation and for ...
Jun 30, 2024 · [16] proposed Hierarchical Relation Network (HRN) that extends the predictions to systems consisting of deformable objects. [4] proposed Hamiltonian ODE graph ...
Jun 24, 2024 · Embedded event based object detection with spiking neural network, Jonathan Courtois et.al. 2406.17617, null. 2024-06-27, Towards Open-set Camera 3D Object ...
Jun 9, 2024 · This paper gives an overview of the literature in the area of deep convolutional neural network-based medical image segmentation. The article looks at a number ...
Jun 20, 2024 · We propose a novel multi-scaled deformable convolution network model to deal with the trade-of between accuracy and speed in object detection. The multi-scaled ...
7 days ago · Our proposed framework, RoboPack, employs a recurrent graph neural network to estimate object states, including particles and object-level latent physics ...
Jun 18, 2024 · In a related context, Bhanothu et al. utilized the Faster R-CNN object detection approach to identify brain tumor locations within MRI scans, utilizing bounding ...
Jun 26, 2024 · In this study, we aimed to evaluate and compare the performance of two different model architectures using pre-trained CNN models for image classification and ...
Jun 20, 2024 · In this paper, we propose a new feature-based, model-free, object-aware dynamic SLAM algorithm that exploits semantic segmentation to allow estimation of motion ...
(PDF) Physics-augmented neural networks for constitutive modeling ...
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4 days ago · PDF | We present neural network-based constitutive models for hyperelastic geometrically exact beams. The proposed models are physics-augmented, i.e.,.
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