diff --git a/README.md b/README.md
index ae5d8b1..f96e765 100644
--- a/README.md
+++ b/README.md
@@ -1,36 +1,50 @@
-# SparK✨: The first successful BERT-style pre-training on any convolutional networks [](https://arxiv.org/abs/2301.03580), ICLR'23 Spotlight
-
-Official implementation of "Designing BERT for Convolutional Networks: ***Spar***se and Hierarchical Mas***k***ed Modeling".
+# SparK: The first successful BERT-style pre-training on any convolutional networks [](https://openreview.net/forum?id=NRxydtWup1S) [](https://arxiv.org/abs/2301.03580)
+Official implementation of [Designing BERT for Convolutional Networks: ***Spar***se and Hierarchical Mas***k***ed Modeling](https://arxiv.org/abs/2301.03580).
+
- [[`arXiv`](https://arxiv.org/abs/2301.03580)]
- [[`pdf`](https://arxiv.org/pdf/2301.03580.pdf)]
- [[`state-of-the-art self-supervised convnet`](https://paperswithcode.com/sota/self-supervised-image-classification-on-1?tag_filter=17?p=designing-bert-for-convolutional-networks)]
- [[`bibtex`](https://github.com/keyu-tian/SparK#citation)]
+ [](https://www.reddit.com/r/MachineLearning/comments/10ix0l1/r_iclr2023_spotlight_the_first_bertstyle/)
+ [](https://twitter.com/keyutian/status/1616606179144380422)
+
+
+ [](https://paperswithcode.com/sota/self-supervised-image-classification-on-1?tag_filter=17&p=designing-bert-for-convolutional-networks)
+ [](https://openreview.net/forum?id=NRxydtWup1S)
+ [](https://arxiv.org/abs/2301.03580)
+
+
+
+
+
+
+
+
+
+
+
+ [[`📹Talk @TechBeat(将门)`](https://www.techbeat.net/talk-info?id=758)]
[[`ReadPaper`](https://readpaper.com/paper/4710371282714116097)]
- [[`Synced`](https://syncedreview.com/2023/01/19/bert-style-pretraining-on-convnets-peking-u-bytedance-oxford-us-sparse-masked-modelling-with-hierarchy-leads-the-way/)]
- [[`The Gradient`](https://thegradientpub.substack.com/p/update-42-ai-news-editors-make-mistakes)]
- [[`QbitAI`](https://www.qbitai.com/2023/02/42109.html)]
- [[`Bytedance`](https://mp.weixin.qq.com/s/Ak1CeeG83sgO0Wf8KgEIQQ)]
[[`DeepAI`](https://deepai.org/publication/designing-bert-for-convolutional-networks-sparse-and-hierarchical-masked-modeling)]
- [[`Reddit`](https://www.reddit.com/r/MachineLearning/comments/10ix0l1/r_iclr2023_spotlight_the_first_bertstyle/)]
- [[`Twitter`](https://twitter.com/keyutian/status/1616606179144380422)]
+ [[`TheGradient`](https://thegradientpub.substack.com/p/update-42-ai-news-editors-make-mistakes)]
+ [[`CVer`](https://zhuanlan.zhihu.com/p/598056871)]
+ [[`Synced(机器之心)`](https://syncedreview.com/2023/01/19/bert-style-pretraining-on-convnets-peking-u-bytedance-oxford-us-sparse-masked-modelling-with-hierarchy-leads-the-way/)]
+ [[`QbitAI(量子位)`](https://www.qbitai.com/2023/02/42109.html)]
+ [[`BAAI(智源)`](https://hub.baai.ac.cn/view/23360)]
## 🔥 News
-- The share on [TechBeat (将门创投)](https://www.techbeat.net/talk-info?id=758) is scheduled on **Mar. 16th (UTC+0 12am, UTC+8 8pm)** too! [[`Recorded Video`](https://www.techbeat.net/talk-info?id=758)]
-- We are honored to be invited by Synced ("机器之心机动组 视频号" on WeChat) to give a talk about SparK on **Feb. 27th (UTC+0 11am, UTC+8 7pm)**, welcome! [[`Recorded Video`](https://www.bilibili.com/video/BV1J54y1u7U3/)]
+- The share on [TechBeat (将门创投)](https://www.techbeat.net/talk-info?id=758) is scheduled on **Mar. 16th (UTC+0 12am, UTC+8 8pm)** too! [[`📹Recorded Video`](https://www.techbeat.net/talk-info?id=758)]
+- We are honored to be invited by Synced ("机器之心机动组 视频号" on WeChat) to give a talk about SparK on **Feb. 27th (UTC+0 11am, UTC+8 7pm)**, welcome! [[`📹Recorded Video`](https://www.bilibili.com/video/BV1J54y1u7U3/)]
- This work got accepted to ICLR 2023 as a Spotlight (notable-top-25%).
@@ -116,15 +130,8 @@ See [PRETRAIN.md](PRETRAIN.md) to pre-train models on ImageNet-1k.
We referred to these useful codebases:
-- [BEiT](https://github.com/microsoft/unilm/tree/master/beit)
-- [MAE](https://github.com/facebookresearch/mae)
-- [ConvNeXt](https://github.com/facebookresearch/ConvNeXt)
-
-We also appreciate these elegant frameworks:
-
-- [timm](https://github.com/rwightman/pytorch-image-models)
-- [MoCoV2](https://github.com/facebookresearch/moco)
-- [Detectron2](https://github.com/facebookresearch/detectron2) and [MMDetection](https://github.com/open-mmlab/mmdetection)
+- [BEiT](https://github.com/microsoft/unilm/tree/master/beit), [MAE](https://github.com/facebookresearch/mae), [ConvNeXt](https://github.com/facebookresearch/ConvNeXt)
+- [timm](https://github.com/rwightman/pytorch-image-models), [MoCoV2](https://github.com/facebookresearch/moco), [Detectron2](https://github.com/facebookresearch/detectron2), [MMDetection](https://github.com/open-mmlab/mmdetection)
@@ -134,7 +141,7 @@ This project is under the MIT license. See [LICENSE](LICENSE) for more details.
## Citation
-If you found this project useful, please consider adding a star ⭐, or citing us 📖:
+If you found this project useful, you may consider staring ⭐, or citing us 📖:
```
@Article{tian2023designing,
author = {Keyu Tian and Yi Jiang and Qishuai Diao and Chen Lin and Liwei Wang and Zehuan Yuan},
diff --git a/downstream_mmdet/README.md b/downstream_mmdet/README.md
index defc031..77d0dbf 100644
--- a/downstream_mmdet/README.md
+++ b/downstream_mmdet/README.md
@@ -8,7 +8,7 @@ This `downstream_mmdet` is isolated from pre-training codes. One can treat this
[[`weights (pre-trained by SparK)`](https://drive.google.com/file/d/1ZjWbqI1qoBcqeQijI5xX9E-YNkxpJcYV/view?usp=share_link)]
- [[`weights (fine-tuned on COCO)`]()]
+ [[`weights (fine-tuned on COCO)`](https://drive.google.com/file/d/1t10dmzg5KOO27o2yIglK-gQepB5gR4zR/view?usp=share_link)]
[[`log.json`](https://drive.google.com/file/d/1TuNboXl1qwjf1tggZ3QOssI67uU7Jtig/view?usp=share_link)]
[[`log`](https://drive.google.com/file/d/1JY5CkL_MX08zJ8P1FBIeC60OJsuIiyZc/view?usp=sharing)]