GitHub

Real-time multi-object tracking and segmentation using Yolov8 with DeepOCSORT and LightMBN

Why using this tracking toolbox? Everything is designed with simplicity and flexibility in mind. We don't hyperfocus on results on a single dataset, we prioritize real-world results. If you don't get ...
IEEE

Multi-Scale Feature Alignment for Continual Learning of Unlabeled Domains

Abstract: Methods for unsupervised domain adaptation (UDA) help to improve the performance of deep neural networks on unseen domains without any labeled data. Especially in medical disciplines such as ...
InfoQ

MIT's Recursive Language Models Improve Performance on Long-Context Tasks

Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance on long-context tasks. RLMs use a programming environment to recursively ...