2 papers
cs.LG2025
Natively Trainable Sparse Attention for Hierarchical Point Cloud Datasets
Nicolas Lapautre, Maria Marchenko, Carlos Miguel Patiño +1
Unlocking the potential of transformers on datasets of large physical systems depends on overcoming the quadratic scaling of the attention mechanism. This work explores combining t…
cs.CV2025
LMDepth: Lightweight Mamba-based Monocular Depth Estimation for Real-World Deployment
Jiahuan Long, Xin Zhou
Monocular depth estimation provides an additional depth dimension to RGB images, making it widely applicable in various fields such as virtual reality, autonomous driving and robot…