3 citations · 4 across the 4 of their papers we have counts for
4 papers
LCCo: Lending CLIP to Co-Segmentation
Xin Duan, Yan Yang, Liyuan Pan +1
This paper studies co-segmenting the common semantic object in a set of images. Existing works either rely on carefully engineered networks to mine the implicit semantic informatio…
RL-CoSeg : A Novel Image Co-Segmentation Algorithm with Deep Reinforcement Learning
Xin Duan, Xiabi Liu, Xiaopeng Gong +1
This paper proposes an automatic image co-segmentation algorithm based on deep reinforcement learning (RL). Existing co-segmentation tasks mainly rely on deep learning methods, and…
Mining the Weights Knowledge for Optimizing Neural Network Structures
Mengqiao Han, Xiabi Liu, Zhaoyang Hai +1
Knowledge embedded in the weights of the artificial neural network can be used to improve the network structure, such as in network compression. However, the knowledge is set up by…
Automatic Image Co-Segmentation: A Survey
Xiabi Liu, Xin Duan
Image co-segmentation is important for its advantage of alleviating the ill-pose nature of image segmentation through exploring the correlation between related images. Many automat…