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**Motivation**
Medical imaging is one of the main use cases for semantic segmentation (heck, [U-Net](https://arxiv.org/abs/1505.04597) was actually invented to perform Biomedical Image Segmentation!)…
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Hi, thanks for your share!
I am testing your code on the NYUv2 dataset. ^ _ ^
I have used your code in folder named 'preproess_data/superpixel/' and have made the image like this
 and 3D perception in recent times e.g: [BEVFormer](https://arxiv.org/abs/2203.17270), [SimpleBEV](https://arxiv.org/abs/2206.079…
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Hello, very great work! Is there any plan to release 3D semantic and instance segmentation codes?
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Create a new subclass of [SensoryAgent](https://github.com/MbodiAI/mbodied-agents/blob/b53ffa5f735daf69cda33caeb67de831bdb1ad46/src/mbodied_agents/agents/sense/sensory_agent.py) that returns a [Sample…
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### Proposal Summary
Add support for rendering `fiftyone.Segmentation` when the corresponding `Sample` is a pointcloud/pcd file. Currently, semantic segmentation needs to baked into the point cloud…
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http://www.scan-net.org/
ScanNet is one of the most used 3D datasets for Semantic, Instance segmentation.
The Dataloader should support both tasks. Maybe Semantic can be inherited to produce an …
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* Name of dataset: a2d2
* URL of dataset: https://www.a2d2.audi/a2d2/en.html
* License of dataset: CC BY-ND 4.0
* Short description of dataset and use case(s):
Autonomous driving dataset by aud…
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ChatGPT proposed the following lists of datasets:
(50/50)
KITTI
Waymo Open Dataset
BDD100K
ApolloScape
nuScenes
Cityscapes
Mapillary Vistas
BOSCH Small Traffic Lights
Oxford RobotCar
Argo…
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@WangYueFt @AnTao97
I am using DGCNN for semantic segmentation task for lidar pointcloud. Base on my result I found that the if I only take XYZ as input, the result is significantly better than XYZ+i…