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Found 3 papers, 1 papers with code
A Graph Neural Network Approach for Temporal Mesh Blending and Correspondence
We have proposed a self-supervised deep learning framework for solving the mesh blending problem in scenarios where the meshes are not in correspondence.
APEX-Net: Automatic Plot Extractor Network
To minimize this intervention, we propose APEX-Net, a deep learning based framework with novel loss functions for solving the plot extraction problem.
SA-CNN: Dynamic Scene Classification using Convolutional Neural Networks
The task of classifying videos of natural dynamic scenes into appropriate classes has gained lot of attention in recent years.
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