105 citations · 107 across the 4 of their papers we have counts for
4 papers
Semi-Supervised Semantic Segmentation With Region Relevance
Rui Chen, Tao Chen, Qiong Wang +1
Semi-supervised semantic segmentation aims to learn from a small amount of labeled data and plenty of unlabeled ones for the segmentation task. The most common approach is to gener…
FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network
Huafeng Liu, Pai Peng, Tao Chen +3
Few-shot semantic segmentation is the task of learning to locate each pixel of the novel class in the query image with only a few annotated support images. The current correlation-…
Intra-Modal Constraint Loss For Image-Text Retrieval
Jianan Chen, Lu Zhang, Qiong Wang +2
Cross-modal retrieval has drawn much attention in both computer vision and natural language processing domains. With the development of convolutional and recurrent neural networks,…
Parity symmetry and parity breaking in the quantum Rabi model with addition of Ising interaction
Q. Wang, W. L. Yang, T. Liu +2
We explore the possibility to generate new parity symmetry in the quantum Rabi model after a bias is introduced. In contrast to a mathematical treatment in a previous publication […