Technology Networks

Cellpose, StarDist, and the Deep Learning Cell Segmentation Revolution

Compare deep learning cell segmentation tools Cellpose and StarDist: how each works, how they differ by imaging type, and ...

Deep learning reveals nanoparticle shape from routine tracking analysis without new hardware

Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...
IEEE

Learn From Examples: In-Context Learning for Camouflaged Object Detection

Abstract: Recently, new paradigms of camouflaged object detection (COD), such as referring COD (Ref-COD) and collaborative COD (Co-COD), have been proposed to enhance task performance. However, there ...
IEEE

RMMNet: Deep Memory Aided Extended Object Tracking via High-Order Markovian Modeling and State Decoupling

Abstract: Grounded in Bayesian filtering (BF), random matrix-based extended object tracking (EOT) offers an efficient framework for the joint estimation of a target’s kinematic state and extension.