From a34103be840078097be9c52b3be8170cd299e516 Mon Sep 17 00:00:00 2001 From: Tian Zhi Date: Sat, 12 Oct 2019 18:08:04 +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 1d90e45..a9e2463 100644 --- a/README.md +++ b/README.md @@ -16,7 +16,7 @@ The full paper is available at: [https://arxiv.org/abs/1904.01355](https://arxiv - **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 - - New NMS speeds up ResNe(x)t based models by up to 30% and MobileNet based models by 40%, with exactly the same performance. Check out [here](#models). (12/10/2019) + - New NMS (see [#165](https://github.com/tianzhi0549/FCOS/pull/165)) speeds up ResNe(x)t based models by up to 30% and MobileNet based models by 40%, with exactly the same performance. Check out [here](#models). (12/10/2019) - New models with much improved performance are released. The best model achieves **49%** in AP on COCO test-dev with multi-scale testing. (11/09/2019) - FCOS with VoVNet backbones is available at [VoVNet-FCOS](https://github.com/vov-net/VoVNet-FCOS). (08/08/2019) - A trick of using a small central region of the BBox for training improves AP by nearly 1 point [as shown here](https://github.com/yqyao/FCOS_PLUS). (23/07/2019) -- GitLab