Merge pull request #25 from flyingtango/master

add Campus3D dataset

README.md

@@ -495,3 +495,4 @@ Statistics: :fire: code is available & stars >= 100  |  :star: citatio
 - [[Oxford Robotcar](https://robotcar-dataset.robots.ox.ac.uk/)] The dataset captures many different combinations of weather, traffic and pedestrians. [__`cls.`__ __`det.`__ __`rec.`__]
 - [[PandaSet](https://scale.com/open-datasets/pandaset)] Public large-scale dataset for autonomous driving provided by Hesai & Scale. It enables researchers to study challenging urban driving situations using the full sensor suit of a real self-driving-car. [__`det.`__ __`seg.`__]
 - [[3D-FRONT](https://tianchi.aliyun.com/specials/promotion/alibaba-3d-scene-dataset) [3D-FUTURE](https://tianchi.aliyun.com/specials/promotion/alibaba-3d-future)] [Alibaba] 3D-FRONT contains 10,000 houses (or apartments) and ~70,000 rooms with layout information. 3D-FUTURE contains 20,000+ clean and realistic synthetic scenes in 5,000+ diverse rooms which contain 10,000+ unique high quality 3D instances of furniture.
+- [[Campus3D](https://3d.dataset.site)] The Campus3D contains a photogrametry point cloud which has 931.7 million points, covering 1.58 km2 of 6 connected campus regions of NUS. The dataset are point-wisely annotated with a hierarchical structure of 24 semantic labels and contains 2,530 instances based on the labels. [[MM 2020 paper](https://arxiv.org/pdf/2008.04968.pdf)][[code](https://github.com/shinke-li/Campus3D)][ __`det.`__ __`cls.`__ __`seg.`__]