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Found 4 papers, 2 papers with code
PGPointNovo: an efficient neural network-based tool for parallel de novo peptide sequencing
De novo peptide sequencing for tandem mass spectrometry data is not only a key technology for novel peptide identification, but also a precedent task for many downstream tasks, such as vaccine and antibody studies.
An optimized Capsule-LSTM model for facial expression recognition with video sequences
To overcome the limitations of convolutional neural network in the process of facial expression recognition, a facial expression recognition model Capsule-LSTM based on video frame sequence is proposed.
Facial Expression Recognition
Facial Expression Recognition (FER)
BPLF: A Bi-Parallel Linear Flow Model for Facial Expression Generation from Emotion Set Images
In this paper, a bi-parallel linear flow model for facial emotion generation from emotion set images is constructed, and a series of improvements have been made in terms of the expression ability of the model and the convergence speed in training.
Generative Model with Dynamic Linear Flow
However, flow-based models are limited by density estimation performance issues as compared to state-of-the-art autoregressive models.
