Google LiteRT.js, released July 9, 2026, brings native browser AI inference to web developers by compiling Google’s proven ...
LiteRT.js runs machine learning models locally with CPU, GPU and emerging NPU acceleration, potentially reducing server infrastructure, inference charges and data movement.
Threat actors compromised AsyncAPI packages and weaponized trusted CI/CD workflows to distribute malware through npm. This ...
RF-DETR is a real-time transformer architecture for object detection, instance segmentation, and keypoint detection (preview) developed by Roboflow. Built on a DINOv2 vision transformer backbone, ...
Background & Motivation Background: Open-Vocabulary Object Detection (OVOD) requires detectors to recognize categories not annotated during training. The mainstream approach leverages the cross-modal ...
Abstract: Recently, new paradigms of camouflaged object detection (COD), such as referring COD (Ref-COD) and collaborative COD (Co-COD), have been proposed to enhance task performance. However, there ...
Abstract: Traditional real-time object detection networks deployed in autonomous aerial vehicles (AAVs) struggle to extract features from small objects in complex backgrounds with occlusions and ...