A survey on vision mamba: Models, applications and challenges
Mamba, a recent selective structured state space model, performs excellently on long
sequence modeling tasks. Mamba mitigates the modeling constraints of convolutional …
sequence modeling tasks. Mamba mitigates the modeling constraints of convolutional …
PointRWKV: Efficient RWKV-Like Model for Hierarchical Point Cloud Learning
Transformers have revolutionized the point cloud learning task, but the quadratic complexity
hinders its extension to long sequence and makes a burden on limited computational …
hinders its extension to long sequence and makes a burden on limited computational …
Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI
Embodied Artificial Intelligence (Embodied AI) is crucial for achieving Artificial General
Intelligence (AGI) and serves as a foundation for various applications that bridge cyberspace …
Intelligence (AGI) and serves as a foundation for various applications that bridge cyberspace …
Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection
Serialization-based methods, which serialize the 3D voxels and group them into multiple
sequences before inputting to Transformers, have demonstrated their effectiveness in 3D …
sequences before inputting to Transformers, have demonstrated their effectiveness in 3D …
Millimeter Wave Radar-based Human Activity Recognition for Healthcare Monitoring Robot
Healthcare monitoring is crucial, especially for the daily care of elderly individuals living
alone. It can detect dangerous occurrences, such as falls, and provide timely alerts to save …
alone. It can detect dangerous occurrences, such as falls, and provide timely alerts to save …