YOLO | Synced

by Synced 2022-07-12 1

Academia Sinica’s YOLOv7 Outperforms All Object Detectors, Reduces Costs by 50%

In the new paper YOLOv7: Trainable Bag-Of-Freebies Sets New State-Of-The-Art for Real-Time Object Detectors, an Academia Sinica research team releases YOLOv7. This latest YOLO version introduces novel “extend” and “compound scaling” methods that effectively utilize parameters and computation; and surpasses all known real-time object detectors in speed and accuracy.

by Synced 2022-04-05 0

AI Machine Learning & Data Science Research

Baidu Proposes PP-YOLOE: An Evolved Version of YOLO that Achieves SOTA Performance in Object Detection

Baidu researchers introduce the PP-YOLOE object detector, which outperforms last year’s YOLOX in terms of speed and accuracy trade-off. The PP-YOLOE-l variant surpasses PP-YOLOv2 by 1.9 percent AP and YOLOX-l by 1.3 percent AP on COCO datasets.

by Synced 2020-04-27 3

AI Computer Vision & Graphics News Research

YOLO Is Back! Version 4 Boasts Improved Speed and Accuracy

YOLOv4 is twice as fast as EfficientDet with comparable performance.

by Synced 2018-03-27 0

AI

The YOLOv3 Object Detection Network Is Fast!

YOLO creators Joseph Redmon and Ali Farhadi from the University of Washington on March 25 released YOLOv3, an upgraded version of their fast object detection network, now available on Github.