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Found 3 papers, 2 papers with code
PEAL: Prior-Embedded Explicit Attention Learning for Low-Overlap Point Cloud Registration
Recently, it has achieved huge success in incorporating Transformer into point cloud feature representation, which usually adopts a self-attention module to learn intra-point-cloud features first, then utilizes a cross-attention module to perform feature exchange between input point clouds.
Pre-trained Deep Convolution Neural Network Model With Attention for Speech Emotion Recognition
To establish an effective features extracting and classification model is still a challenging task.
HERA: Partial Label Learning by Combining Heterogeneous Loss with Sparse and Low-Rank Regularization
Partial Label Learning (PLL) aims to learn from the data where each training instance is associated with a set of candidate labels, among which only one is correct.
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