From d434579bf044a902d7ac56256ada46a0401de0cc Mon Sep 17 00:00:00 2001 From: Zheng Zhang Date: Thu, 9 Sep 2021 14:21:33 +0800 Subject: [PATCH 1/2] Update README.md --- README.md | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/README.md b/README.md index 5c4512e..e5f7974 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,13 @@ # End-to-End Semi-Supervised Object Detection with Soft Teacher +[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/end-to-end-semi-supervised-object-detection/semi-supervised-object-detection-on-coco-1)](https://paperswithcode.com/sota/semi-supervised-object-detection-on-coco-1?p=end-to-end-semi-supervised-object-detection) +[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/end-to-end-semi-supervised-object-detection/semi-supervised-object-detection-on-coco-5)](https://paperswithcode.com/sota/semi-supervised-object-detection-on-coco-5?p=end-to-end-semi-supervised-object-detection) +[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/end-to-end-semi-supervised-object-detection/semi-supervised-object-detection-on-coco-10)](https://paperswithcode.com/sota/semi-supervised-object-detection-on-coco-10?p=end-to-end-semi-supervised-object-detection) +[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/end-to-end-semi-supervised-object-detection/instance-segmentation-on-coco-minival)](https://paperswithcode.com/sota/instance-segmentation-on-coco-minival?p=end-to-end-semi-supervised-object-detection) +[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/end-to-end-semi-supervised-object-detection/object-detection-on-coco-minival)](https://paperswithcode.com/sota/object-detection-on-coco-minival?p=end-to-end-semi-supervised-object-detection) +[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/end-to-end-semi-supervised-object-detection/instance-segmentation-on-coco)](https://paperswithcode.com/sota/instance-segmentation-on-coco?p=end-to-end-semi-supervised-object-detection) +[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/end-to-end-semi-supervised-object-detection/object-detection-on-coco)](https://paperswithcode.com/sota/object-detection-on-coco?p=end-to-end-semi-supervised-object-detection) + By [Mengde Xu*](https://scholar.google.com/citations?user=C04zJHEAAAAJ&hl=zh-CN), [Zheng Zhang*](https://github.com/stupidZZ), [Han Hu](https://github.com/ancientmooner), [Jianfeng Wang](https://github.com/amsword), [Lijuan Wang](https://www.microsoft.com/en-us/research/people/lijuanw/), [Fangyun Wei](https://scholar.google.com.tw/citations?user=-ncz2s8AAAAJ&hl=zh-TW), [Xiang Bai](http://cloud.eic.hust.edu.cn:8071/~xbai/), [Zicheng Liu](https://www.microsoft.com/en-us/research/people/zliu/). ![](./resources/pipeline.png) From cd7c27774b38602d9927537cfa4ba39effce103b Mon Sep 17 00:00:00 2001 From: psvnl sai kumar Date: Sun, 12 Sep 2021 13:35:03 +0530 Subject: [PATCH 2/2] Fixed typos in README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index e5f7974..f524b19 100644 --- a/README.md +++ b/README.md @@ -28,7 +28,7 @@ This repo is the official implementation of ["End-to-End Semi-Supervised Object ### Partial Labeled Data -We followed STAC[1] to evalutate on 5 different data splits for each settings, and report the average performance of 5 splits. The results are shown in the following: +We followed STAC[1] to evaluate on 5 different data splits for each setting, and report the average performance of 5 splits. The results are shown in the following: #### 1% labeled data | Method | mAP| Model Weights |Config Files| @@ -71,7 +71,7 @@ We followed STAC[1] to evalutate on 5 different data splits for each settings, a ### Notes -- Ours* means we use longger training schedule. +- Ours* means we use longer training schedule. - `thr` indicates `model.test_cfg.rcnn.score_thr` in config files. This inference trick was first introduced by Instant-Teaching[2]. - All models are trained on 8*V100 GPUs