IEEE

Real-Time Object Detection and Classification using YOLO for Edge FPGAs

Abstract: Object detection and classification are crucial tasks across various application domains, particularly in the development of safe and reliable Advanced Driver Assistance Systems (ADAS).
GitHub

YOLO-IOD: Towards Real Time Incremental Object Detection

We introduce YOLO-IOD, an integrated and real-time IOD framework, and pinpoint three causes of forgetting: foreground-background confusion, parameter interference, and misaligned knowledge ...
IEEE

Low-Cost FPGA-Enhanced CNN Accelerator for Real-Time YOLO Object Detection & Classification

Abstract: This work presents a low-cost FPGA accelerator for real-time object detection and classification using a compressed YOLOv3-Tiny model. Existing FPGA-based CNN accelerators excel in one ...
The New York Times

How ICE Already Knows Who Minneapolis Protesters Are

Agents use facial recognition, social media monitoring and other tech tools not only to identify undocumented immigrants but also to track protesters, current and former officials said. By Sheera ...
GitHub

GDD-YOLO：An Efficient Real-Time Small Object Detection Framework with Edge Awareness and Dynamic Convolution

The core file description is as follows: We have provided the complete implementation codes of three core innovative modules of GDD-YOLO, which are the key to optimizing the accuracy and computational ...