Search papers, labs, and topics across Lattice.
6
0
6
LEVIRDet-159 not only sets a new standard in dataset scale but also enables a foundation model that generalizes effectively across diverse remote sensing contexts.
Achieving linear-time efficiency in remote sensing instance segmentation could revolutionize how we deploy vision models in resource-constrained environments.
SSMs are revolutionizing remote sensing by efficiently tackling complex data challenges, yet many researchers remain unaware of their full potential.
Scale-Frustum Representations offer a surprisingly effective way to model objects at drastically different scales in ultra-wide area remote sensing images, boosting segmentation accuracy and convergence speed.
Achieve state-of-the-art cloud detection in remote sensing imagery with a novel Mamba-based architecture that's both more accurate and computationally efficient than Transformers.
A breast pathology foundation model, BRIGHT, beats generalist models at specialist tasks, suggesting organ-specific pretraining is a scalable path to expert-level performance.
