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I’m currently working with COLMAP, and I love it!
My plan is to perform object segmentation on the same set of images.
My goal is to integrate these two processes. First, I will use COLMAP to c…
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# UniOcc: Unifying Vision-Centric 3D Occupancy Prediction with Geometric and Semantic Rendering - Reading Collections
[https://owen-liuyuxuan.github.io/papers_reading_sharing.github.io/other_catego…
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> Toronto-3D is a large-scale urban outdoor point cloud dataset acquired by an MLS system in Toronto, Canada for semantic segmentation. This dataset covers approximately 1 km of road and consists of a…
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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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Hi there,
I'm running nnU-Net on an institutional CT head and neck dataset with multi-class labels that I'm adding as shown here: https://github.com/MIC-DKFZ/nnUNet/blob/master/documentation/datase…
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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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The [semantic segmentation models](https://github.com/pycroscopy/atomai/blob/master/atomai/nets/fcnn.py) need to be extended to work with 3D data. This should be very straightforward - just introduce …
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**Describe the solution you'd like**
Implement a Semantic Segmentation application to detect a free path, for example, to navigate using a camera.
> Semantic mapping can be defined as the proces…
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Hello, really impressive work! Your dense occupancy label generation pipeline is very enlightening. I notice that SurroundOcc achieves SOTA results on 3d Semantic Occupancy prediction and 3D scene co…
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Hi @vasgaowei, thanks for meticulously maintaining this informative repository!
To further enhance the comprehensiveness of this repository, I would like to recommend the following papers under the…