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Found 7 papers, 4 papers with code
TabCaps: A Capsule Neural Network for Tabular Data Classification with BoW Routing
In this paper, we propose to encapsulate all feature values of a record into vectorial features and process them collectively rather than have to deal with individual ones, which directly captures the representations at the data level and benefits robust performances.
PGformer: Proxy-Bridged Game Transformer for Multi-Person Highly Interactive Extreme Motion Prediction
Multi-person motion prediction is a challenging task, especially for real-world scenarios of highly interacted persons.
Cross-Layer Retrospective Retrieving via Layer Attention
Motivated by this, we devise a cross-layer attention mechanism, called multi-head recurrent layer attention (MRLA), that sends a query representation of the current layer to all previous layers to retrieve query-related information from different levels of receptive fields.
Hypergraph Transformer for Skeleton-based Action Recognition
Skeleton-based action recognition aims to recognize human actions given human joint coordinates with skeletal interconnections.
Ranked #7 on
Skeleton Based Action Recognition
on NTU RGB+D 120
Recurrence along Depth: Deep Convolutional Neural Networks with Recurrent Layer Aggregation
This paper introduces a concept of layer aggregation to describe how information from previous layers can be reused to better extract features at the current layer.
Dual-Attention Enhanced BDense-UNet for Liver Lesion Segmentation
In this work, we propose a new segmentation network by integrating DenseUNet and bidirectional LSTM together with attention mechanism, termed as DA-BDense-UNet.
CNN-based Realized Covariance Matrix Forecasting
It is well known that modeling and forecasting realized covariance matrices of asset returns play a crucial role in the field of finance.
