most citedRL-CoSeg : A Novel Image Co-Segmentation Algorithm with Deep Reinforcement Learning

3 citations · 4 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CV2022★ 3 cited

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…

cs.NE2021★ 1 cited

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…

cs.LG2021

Explore the Knowledge contained in Network Weights to Obtain Sparse Neural Networks

Mengqiao Han, Xiabi Liu, Zhaoyang Hai +1

Sparse neural networks are important for achieving better generalization and enhancing computation efficiency. This paper proposes a novel learning approach to obtain sparse fully…