The U.S. Department of War released 72 files describing unidentified anomalous phenomena on June 12, 2026, and among the ...

Securing AI pipelines against data poisoning: a practical guide for technical teams Data poisoning is one of the more practical risks in AI security because it targets the pipeline rather than the ...

In a groundbreaking development, scientists have picked up the first-ever mysterious radio signal from the interstellar comet 3I/ATLAS. This intriguing object, currently traversing our solar system, ...

We present a new dataset combined with the DeepSee model, which utilizes the YOLOv8 architecture, designed to rapidly and accurately detect benthic lifeforms in deep-sea environments of the North ...

Abstract: In agriculture, automating the accurate tracking of fruits, vegetables, and fiber is a very tough problem. The issue becomes extremely challenging in dynamic field environments. Yet, this ...

Abstract: Multiple-object tracking (MOT) is a crucial component in autonomous driving systems. However, inaccurate object detection is always the bottleneck for MOT. Most detectors are not designed to ...

This repository is an official implementation of the paper MOTR: End-to-End Multiple-Object Tracking with TRansformer. TL; DR. MOTR is a fully end-to-end multiple-object tracking framework based on ...

This repository largely implements the approach described in Learning a Neural Solver for Multiple Object Tracking. This implementation achieves ~58% MOTA on the MOT16 test set. Note that this is not ...