From 410a8b882fe4bb44029210c67691dd6ce93fd943 Mon Sep 17 00:00:00 2001 From: Tian Zhi Date: Sat, 12 Oct 2019 18:43:19 +1030 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index a9e2463..fd58551 100644 --- a/README.md +++ b/README.md @@ -12,7 +12,7 @@ The full paper is available at: [https://arxiv.org/abs/1904.01355](https://arxiv ## Highlights - **Totally anchor-free:** FCOS completely avoids the complicated computation related to anchor boxes and all hyper-parameters of anchor boxes. - **Better performance:** The very simple one-stage detector achieves much better performance (38.7 vs. 36.8 in AP with ResNet-50) than Faster R-CNN. Check out more models and experimental results [here](#models). -- **Faster training:** With the same hardwares, FCOS also requires less training hours (6.5h vs. 8.8h) than Faster R-CNN. +- **Faster training and testing:** With the same hardwares and backbone ResNet-50-FPN, FCOS also requires less training hours (6.5h vs. 8.8h) than Faster R-CNN. FCOS also takes 12ms less inference time per image than Faster R-CNN (44ms vs. 56ms). - **State-of-the-art performance:** Our best model based on ResNeXt-64x4d-101 and deformable convolutions achieves **49.0%** in AP on COCO test-dev (with multi-scale testing). ## Updates -- GitLab