Merge branch 'main' of github.com:MendelXu/SoftTeacher into main

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)
@@ -20,7 +28,7 @@ This repo is the official implementation of ICCV2021 paper ["End-to-End Semi-Sup
 
 ### Partial Labeled Data
 
-We followed STAC[1] to evaluate 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|
@@ -63,7 +71,7 @@ We followed STAC[1] to evaluate on 5 different data splits for each settings, an
 
 
 ### 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