2 papers
cs.LG2025
From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics
Qinshuo Liu, Weiqin Zhao, Wei Huang +3
The depth of neural networks is a critical factor for their capability, with deeper models often demonstrating superior performance. Motivated by this, significant efforts have bee…
cs.CV2024
MapSAM: Adapting Segment Anything Model for Automated Feature Detection in Historical Maps
Xue Xia, Daiwei Zhang, Wenxuan Song +2
Automated feature detection in historical maps can significantly accelerate the reconstruction of the geospatial past. However, this process is often constrained by the time-consum…