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Found 4 papers, 1 papers with code
Human Emotion Recognition Based On Galvanic Skin Response signal Feature Selection and SVM
A novel human emotion recognition method based on automatically selected Galvanic Skin Response (GSR) signal features and SVM is proposed in this paper.
RL-CoSeg : A Novel Image Co-Segmentation Algorithm with Deep Reinforcement Learning
For the image co-segmentation problem, we propose a collaborative RL algorithm based on the A3C model.
A Dense Siamese U-Net trained with Edge Enhanced 3D IOU Loss for Image Co-segmentation
In this paper, we propose a new approach to image co-segmentation through introducing the dense connections into the decoder path of Siamese U-net and presenting a new edge enhanced 3D IOU loss measured over distance maps.
A New Three-stage Curriculum Learning Approach to Deep Network Based Liver Tumor Segmentation
The learning in the first stage is performed on the whole input to obtain an initial deep network for tumor segmenta-tion.
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