Search Results for author:
Found 3 papers, 2 papers with code
OCELOT: Overlapped Cell on Tissue Dataset for Histopathology
Cell detection is a fundamental task in computational pathology that can be used for extracting high-level medical information from whole-slide images.
Interactive Multi-Class Tiny-Object Detection
We perform experiments on the Tiny-DOTA and LCell datasets using both two-stage and one-stage object detection architectures to verify the efficacy of our approach.
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures
As MetaPerturb is a set-function trained over diverse distributions across layers and tasks, it can generalize to heterogeneous tasks and architectures.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
