add external project links (facebookresearch#390)

Summary:
it can also close facebookresearch#949
Pull Request resolved: fairinternal/detectron2#390

Reviewed By: rbgirshick

Differential Revision: D20187249

Pulled By: ppwwyyxx

fbshipit-source-id: 37099e9072133237a721fc473c6e66d1fa6c883e

.github/ISSUE_TEMPLATE/feature-request.md

@@ -5,22 +5,24 @@ about: Submit a proposal/request for a new detectron2 feature
 ---
 
 ## 🚀 Feature
-<!-- A clear and concise description of the feature proposal -->
+A clear and concise description of the feature proposal.
 
-## Motivation
 
-<!-- Please outline the motivation for the proposal. Is your feature request related to a problem?
-e.g., I'm always frustrated when [...]. If this is related to another GitHub issue, please link here too -->
+## Motivation & Examples
 
-## Pitch
+Tell us why the feature is useful.
 
-<!-- A clear and concise description, e.g., with code examples showing what you want to happen. -->
+Describe what the feature would look like, if it is implemented.
+Best demonstrated using **code examples** in addition to words.
 
-Note that we only consider adding new features if they are relevant to many users.
-We do not take requests to implement recent research papers --
+## Note
+
+We only consider adding new features if they are relevant to many users.
+
+If you request implementation of research papers --
 we only consider papers that have enough significance and prevalance.
 
-We don't take feature requests for most projects in the `projects/` directory,
+We do not take requests for most projects in the `projects/` directory,
 because they are research code release that is mainly for other researchers to reproduce results.
 
 Instead of adding features inside detectron2,

MODEL_ZOO.md

@@ -8,6 +8,8 @@ All numbers were obtained on [Big Basin](https://engineering.fb.com/data-center-
 servers with 8 NVIDIA V100 GPUs & NVLink. The softwares in use were PyTorch 1.3, CUDA 9.2, cuDNN 7.4.2 or 7.6.3.
 You can access these models from code using [detectron2.model_zoo](https://detectron2.readthedocs.io/modules/model_zoo.html) APIs.
 
+In addition to these official baseline models, you can find more models in [projects/](projects/).
+
 #### How to Read the Tables
 * The "Name" column contains a link to the config file. Running `tools/train_net.py` with this config file
 	and 8 GPUs will reproduce the model.

projects/README.md

@@ -1,8 +1,10 @@
 
-Here are a few research projects that are built on detectron2.
+Here are a few projects that are built on detectron2.
 They are examples of how to use detectron2 as a library, to make your projects more
 maintainable.
 
+## Projects by Facebook
+
 Note that these are research projects, and therefore may not have the same level
 of support or stability of detectron2.
 
@@ -11,3 +13,19 @@ of support or stability of detectron2.
 + [TensorMask: A Foundation for Dense Object Segmentation](TensorMask)
 + [Mesh R-CNN](https://github.com/facebookresearch/meshrcnn)
 + [PointRend: Image Segmentation as Rendering](PointRend)
++ Momentum Contrast for Unsupervised Visual Representation Learning (coming soon)
+
+
+## External Projects
+
+External projects in the community that use detectron2:
+
+<!--
+ - If you want to contribute, note that:
+ -  1. please add your project to the end of the list and try to use only one line
+ -  2. the project must provide trained models for what it implements
+ -->
+
++ [VoVNet backbones](https://github.com/youngwanLEE/vovnet-detectron2).
++ [AdelaiDet](https://github.com/aim-uofa/adet), a detection toolbox from the Universtiy of Adelaide.
++ [CenterMask : Real-Time Anchor-Free Instance Segmentation](https://github.com/youngwanLEE/centermask2)