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Found 5 papers, 0 papers with code
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.
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.
Video Smoke Detection Based on Deep Saliency Network
The deep feature map is combined with the saliency map to predict the existence of smoke in an image.
Domain Adaptation from Synthesis to Reality in Single-model Detector for Video Smoke Detection
The existed researches mainly work on the adaptation to samples extracted from original annotated samples.
Deep Domain Adaptation Based Video Smoke Detection using Synthetic Smoke Images
Considering that the appearance gap (dataset bias) between synthetic and real smoke images degrades significantly the performance of the trained model on the test set composed fully of real images, we build deep architectures based on domain adaptation to confuse the distributions of features extracted from synthetic and real smoke images.
