A research team at Tohoku University's Advanced Institute for Materials Research (WPI-AIMR) has developed a new technique to ...

Editors who shun proprietary software have reason to celebrate, as the folks behind Kdenlive have released a new version of ...

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image ...

These visualizations clearly demonstrate how these interference factors disrupt the feature extraction process of CNN models, leading to a notable decline in detection accuracy across different ...

This important work presents a self-supervised method for the segmentation of ... i.e., Cellpose pretrained models), with the tooling we provide, this becomes easier to set the threshold based on ...

🚀🚀🚀 A collection of some awesome public YOLO object detection series projects and the related object detection datasets.

they've demonstrated that diffusion models can generate synthetic images. This innovative approach significantly enhances object detection accuracy while reducing reliance on real-world images.

may impair model robustness. Standardized imaging protocols and scale integration will enhance segmentation accuracy and enable wound area quantification. 4. Infection localization: While infection ...

Agricultural Equipment Institute of Hunan/Hunan Intelligent Agriculture Engineering Technology Research Center/Hunan Branch Center of National Energy R&D Center for Non-Food Biomass, Changsha 410125, ...

circuit-based system for object detection and recognition using a Spiking Neural Network (SNN). Our holistic CMOS circuit integrates neuromorphic elements, including a leaky integrate-and-fire (LIF) ...