Update README.md

Author: ZhenhangHuang

README.md

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-InternImage
-========
-
+# InternImage
 
 [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/internimage-exploring-large-scale-vision/object-detection-on-coco)](https://paperswithcode.com/sota/object-detection-on-coco?p=internimage-exploring-large-scale-vision)
 [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/internimage-exploring-large-scale-vision/object-detection-on-coco-minival)](https://paperswithcode.com/sota/object-detection-on-coco-minival?p=internimage-exploring-large-scale-vision)
 [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/internimage-exploring-large-scale-vision/semantic-segmentation-on-ade20k)](https://paperswithcode.com/sota/semantic-segmentation-on-ade20k?p=internimage-exploring-large-scale-vision)
+[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/towards-all-in-one-pre-training-via/object-detection-on-lvis-v1-0-minival)](https://paperswithcode.com/sota/object-detection-on-lvis-v1-0-minival?p=towards-all-in-one-pre-training-via)
+[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/bevformer-v2-adapting-modern-image-backbones/3d-object-detection-on-nuscenes-camera-only)](https://paperswithcode.com/sota/3d-object-detection-on-nuscenes-camera-only?p=bevformer-v2-adapting-modern-image-backbones)
 [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/internimage-exploring-large-scale-vision/image-classification-on-imagenet)](https://paperswithcode.com/sota/image-classification-on-imagenet?p=internimage-exploring-large-scale-vision)
 
 This repository is an official implementation of the [InternImage: Exploring Large-Scale Vision Foundation Models with
 Deformable Convolutions](https://arxiv.org/abs/2211.05778).
 
 By Wenhai Wang, Jifeng Dai, Zhe Chen, Zhenhang Huang, Zhiqi Li, Xizhou Zhu, Xiaowei Hu, Tong Lu, Lewei Lu, Hongsheng Li, Xiaogang Wang, Yu Qiao
 
-Code will be available.
+## News
+
+- `Nov 18, 2022`: 🚀 InternImage-XL merged into [BEVFormer v2](https://arxiv.org/abs/2211.10439) achieves stae-of-the-art performance of `63.4 NDS` on nuScenes Camera Only.
+- `Nov 10, 2022`: 🚀🚀 InternImage-H achieves a new record `65.4 mAP` on COCO detection test-dev and `62.9 mIoU` on
+ADE20K, outperforming previous models by a large margin.
+
+## Coming soon
+- [ ] Classification/detection/segmentation code of the InternImage series.
+- [ ] InternImage-T/S/B/L/XL ImageNet-1k pretrained model.
+- [ ] InternImage-L/XL ImageNet-22k pretrained model.
+- [ ] InternImage-T/S/B/L/XL detection and instance segmentation model.
+- [ ] InternImage-T/S/B/L/XL semantic segmentation model.
+
+## Introduction
+
+**InternImage**, initially described in [arxiv](https://arxiv.org/abs/2211.05778), can be a general backbone for computer vision.
+It takes deformable convolution as the core operator to obtain large effective receptive fields, and introducing adaptive spatial aggregation
+to reduces the strict inductive bias. Our model makes it possible to learn more stronger and robust models with large-scale parameters from massive data.
+
+<div align=center>
+<img src='./figs/arch.png' width=400>
+</div>
+
+## Main Results on ImageNet with Pretrained Models
+
+**ImageNet-1K and ImageNet-22K Pretrained InternImage Models**
+
+| name | pretrain | resolution |acc@1 | #params | FLOPs |
+| :---: | :---: | :---: | :---: | :---: | :---: | 
+| InternImage-T | ImageNet-1K | 224x224 | 83.5 | 30M | 5G |
+| InternImage-S | ImageNet-1K | 224x224 | 84.2 | 50M | 8G |
+| InternImage-B | ImageNet-1K | 224x224 | 84.9 | 97M | 16G |
+| InternImage-L | ImageNet-22K | 384x384 | 87.7 | 223M | 108G |
+| InternImage-XL | ImageNet-22K | 384x384 | 88.0 | 335M | 163G |
+
+## Main Results on Downstream Tasks
+
+**COCO Object Detection**
+
+| backbone | method | lr schedule | box mAP | mask mAP | #params | FLOPs |
+| :---: | :---: | :---: | :---: | :---: | :---: | :---: |
+| InternImage-T | Mask R-CNN | 1x | 47.2 | 42.5 | 49M | 270G |
+| InternImage-S | Mask R-CNN | 1x | 47.8 | 43.3 | 69M | 340G |
+| InternImage-B | Mask R-CNN | 1x | 48.8 | 44.0 | 115M | 501G |
+| InternImage-L | Cascade Mask R-CNN | 1x | 54.9 | 47.7 | 277M | 1399G |
+| InternImage-XL | Cascade Mask R-CNN | 1x | 55.3 | 48.0 | 387M | 1782G |
+
+**ADE20K Semantic Segmentation**
 
+| backbone | resolution | single scale | multi scale | #params | FLOPs|
+| :---: | :---: | :---: | :---: | :---: | :---: | 
+| InternImage-T | 512x512 | 47.9 | 48.1 | 59M | 944G | 
+| InternImage-S | 512x512 | 50.1 | 50.9 | 80M | 1017G |
+| InternImage-B | 512x512 | 50.8 | 51.3 | 128M | 1185G |
+| InternImage-L | 640x640 | 53.9 | 54.1 | 256M | 2526G |
+| InternImage-XL | 640x640 | 55.0 | 55.3 | 368M | 3142G |
 
 ## Citation