IEEE

MHS-Mamba: A Multihierarchical Semantic Model for UAV Hyperspectral Image Classification

Abstract: Hyperspectral image (HSI) captured by uncrewed aerial vehicles (UAVs) is distinguished by superior spatial resolution and intricate spectral detail, with widespread applications in precise ...
eLife

New idtracker.ai rethinks multi-animal tracking as a representation learning problem to increase accuracy and reduce tracking time

Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.
The Lancet

Deep learning on histopathological images to predict breast cancer recurrence risk and chemotherapy benefit: a multicentre, model development and validation study

aTaub Faculty of Computer Science, Technion-Israel Institute of Technology, Haifa, Israel bFaculty of Electrical and Computer Engineering, Technion-Israel Institute of Technology, Haifa, Israel ...
IEEE

PGSMamba: Prompt-Guided Shuffle State Space Model for Hyperspectral Image Classification

Abstract: Hyperspectral image classification demands models capable of efficiently capturing complex spectral–spatial relationships and long-range dependencies. Despite significant advances in CNNs ...
GitHub

MGDP: Mastering a Generalized Depth Perception Model for Quadruped Locomotion

Perception-based Deep Reinforcement Learning (DRL) controllers demonstrate impressive performance on challenging terrains. However, existing controllers still face core limitations, struggling to ...