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Found 5 papers, 4 papers with code
Lightweight Attribute Localizing Models for Pedestrian Attribute Recognition
Pedestrian Attribute Recognition (PAR) deals with the problem of identifying features in a pedestrian image.
Image Reconstruction using Superpixel Clustering and Tensor Completion
This paper presents a pixel selection method for compact image representation based on superpixel segmentation and tensor completion.
Machine learning models for DOTA 2 outcomes prediction
Prediction of the real-time multiplayer online battle arena (MOBA) games' match outcome is one of the most important and exciting tasks in Esports analytical research.
Graph Convolutional Neural Networks for analysis of EEG signals, BCI application
Decoding brain signals has gained many attention and has found much applications in recent years such as Brain Computer Interfaces, communicating with controlling external devices using the user's intentions, occupies an emerging field with the potential of changing the world, with diverse applications from rehabilitation to human augmentation.
Deep convolutional tensor network
Also, DCTN of any depth performs badly on CIFAR10 due to overfitting.
