Six members of Facebook AI Research (FAIR) tapped the popular Transformer neural network architecture to create end-to-end object detection AI, an approach they claim streamlines the creation of ...

Transformer architecture In recent years, new transformer models, including Oriented Object Detection with Transformer (O2DETR research paper 2021), DEtection TRansformer (DETR 2020 from Meta), and ...

Millions of tiny objects, invisible to the current tracking systems, are hurtling through orbit at incredible speeds of about 17,500 mph.

FOMO is a deep learning object detection model that weighs less than 200 kilobytes. ... makes it possible to run real-time object detection on devices with very small computation and memory capacity.

The SpotlightAI™ software ecosystem utilizes advanced machine learning (ML) models for small object detection and data reporting built on an extensive proprietary dataset capable of rapidly ...

The Multi-frame Moving Object Detection System (MMODS) is able to find curves of motion in streaming video from satellites, drones, and far-range security cameras and track tiny moving objects.

Emza’s optimized face detection model runs an order of magnitude faster on Alif silicon with Arm Ethos-U55 microNPU versus CPU-only solutionGIV'ATAYIM, Israel, May 16, 2022 (GLOBE NEWSWIRE ...