IEEE

AHCO-YOLO: An Algorithm–Hardware Co-Optimization Framework for Energy-Efficient and Real-Time Object Detection on Edge Devices

Abstract: Real-time object detection on edge devices operates under tight computational, memory, and power budgets. Prior work typically treats model compression and hardware acceleration ...
GitHub

Real-Time Object Detection Meets DINOv3

DEIMv2 is an evolution of the DEIM framework while leveraging the rich features from DINOv3. Our method is designed with various model sizes, from an ultra-light version up to S, M, L, and X, to be ...
IEEE

A Lighter and Faster One-Stage Algorithm for Object Detection in Remote Sensing Images

Abstract: Remote sensing (RS) image processing and analysis face significant challenges due to varying object scales and complex backgrounds. Existing detection algorithms often suffer from high ...
GitHub

FCOS: Fully Convolutional One-Stage Object Detection

FCOS: Fully Convolutional One-Stage Object Detection; Zhi Tian, Chunhua Shen, Hao Chen, and Tong He; In: Proc. Int. Conf. Computer Vision (ICCV), 2019. arXiv preprint ...
GamesRadar+

Arc Raiders cheating earns stern response from Embark as players sound the alarm: "We are implementing significant changes to our rulesets and deploying new detection mechanisms"

Third Person Shooters Arc Raiders lead responds to complaints about late spawns, says late joiners are important and "profit way more" Third Person Shooters Arc Raiders dev admits "we're definitely a ...