2 papers
cs.LG2025
ReviBranch: Deep Reinforcement Learning for Branch-and-Bound with Revived Trajectories
Dou Jiabao, Nie Jiayi, Yihang Cheng +5
The Branch-and-bound (B&B) algorithm is the main solver for Mixed Integer Linear Programs (MILPs), where the selection of branching variable is essential to computational efficienc…
cs.CV2025
ECMNet:Lightweight Semantic Segmentation with Efficient CNN-Mamba Network
Feixiang Du, Shengkun Wu
In the past decade, Convolutional Neural Networks (CNNs) and Transformers have achieved wide applicaiton in semantic segmentation tasks. Although CNNs with Transformer models great…