From 2a0f2c2701142f5945c1184a660d606c16bc3e6a Mon Sep 17 00:00:00 2001 From: Cao Yuhang <yhcao6@gmail.com> Date: Sat, 4 May 2019 11:44:29 +0800 Subject: [PATCH] Add HTC benchmark (#578) --- configs/htc/README.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/configs/htc/README.md b/configs/htc/README.md index 3a03d81..7b7c5ac 100644 --- a/configs/htc/README.md +++ b/configs/htc/README.md @@ -38,11 +38,11 @@ The results on COCO 2017val is shown in the below table. (results on test-dev ar | Backbone | Style | Lr schd | Mem (GB) | Train time (s/iter) | Inf time (fps) | box AP | mask AP | Download | |:---------:|:-------:|:-------:|:--------:|:-------------------:|:--------------:|:------:|:-------:|:--------:| -| R-50-FPN | pytorch | 1x | | | | 42.2 | 37.3 | [model](https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/htc/htc_r50_fpn_1x_20190408-878c1712.pth) | -| R-50-FPN | pytorch | 20e | | | | 43.2 | 38.0 | [model](https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/htc/htc_r50_fpn_20e_20190408-c03b7015.pth) | -| R-101-FPN | pytorch | 20e | | | | 44.9 | 39.4 | [model](https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/htc/htc_r101_fpn_20e_20190408-a2e586db.pth) | -| X-101-32x4d-FPN | pytorch |20e| | | | 46.1 | 40.3 | [model](https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/htc/htc_x101_32x4d_fpn_20e_20190408-9eae4d0b.pth) | -| X-101-64x4d-FPN | pytorch |20e| | | | 47.0 | 40.9 | [model](https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/htc/htc_x101_64x4d_fpn_20e_20190408-497f2561.pth) | +| R-50-FPN | pytorch | 1x | 7.4 | 0.936 | 3.5 | 42.2 | 37.3 | [model](https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/htc/htc_r50_fpn_1x_20190408-878c1712.pth) | +| R-50-FPN | pytorch | 20e | - | - | - | 43.2 | 38.0 | [model](https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/htc/htc_r50_fpn_20e_20190408-c03b7015.pth) | +| R-101-FPN | pytorch | 20e | 9.3 | 1.051 | 3.4 | 44.9 | 39.4 | [model](https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/htc/htc_r101_fpn_20e_20190408-a2e586db.pth) | +| X-101-32x4d-FPN | pytorch |20e| 5.8 | 0.769 | 3.3 | 46.1 | 40.3 | [model](https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/htc/htc_x101_32x4d_fpn_20e_20190408-9eae4d0b.pth) | +| X-101-64x4d-FPN | pytorch |20e| 7.5 | 1.120 | 3.0 | 47.0 | 40.9 | [model](https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/htc/htc_x101_64x4d_fpn_20e_20190408-497f2561.pth) | - In the HTC paper and COCO 2018 Challenge, `score_thr` is set to 0.001 for both baselines and HTC. - We use 8 GPUs with 2 images/GPU for R-50 and R-101 models, and 16 GPUs with 1 image/GPU for X-101 models. -- GitLab