Jul 16, 2024 · Prototypical neural networks, a type of concept-based neural network ... We present a deformable prototypical part network (Deformable ProtoPNet), an ...
Jul 15, 2024 · However, the existing CNN-based approaches still have two limitations: First, these phase unwrapping networks are limited to model complex geometric ...
Jul 1, 2024 · The general structure of CNN models used in the proposed classification model. ... deformable models. Fuzzy Sets Syst. 160(10), 1457–1473 (2009). Article ...
Jul 11, 2024 · For deep learning applications in medical image processing, Haq et al. [29] proposed using a Convolutional Neural Network (CNN) model, specifically the ...
Jul 15, 2024 · To mitigate this limitation, another line of research developed efficient light-weight CNN models for mobile vision tasks with fewer computational parameters ...
Jul 5, 2024 · Deep neural networks have been shown to demonstrate promising outcomes for object pose estimation in RGB images. Modern approaches often involve training models ...
Jul 5, 2024 · We present a neural network to transfer the motion from a single image of an articulated object to a reststate (i.e., unarticulated) 3D model. Our network ...
Jul 13, 2024 · Automatic anatomical classification of colonoscopic images using deep convolutional neural networks. Gastroenterology Report 9, 3 (12 2020), 226–233. Google ...
Jul 5, 2024 · ... deep learning features derived from our novel CNN-RNN model. project image. ×. Human Correspondence Consensus for 3D Object Semantic Understanding. Yujing Lou ...
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18 hours ago · 5, achieves sparse modeling while maintaining CNN inductive bias toward local correlations and translational invariance. It introduces long-range spatial ...