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'Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis' is a good paper with 3D-GCN, whose funciton contain graph classification and node ca…
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https://github.com/amusi/ECCV2024-Papers-with-Code
追記:
ECCV2024速報:https://hirokatsukataoka.net/temp/presen/241004ECCV2024Report_finalized.pdf
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Hi,When I run your project **Machine Learning I : object_detector_3d**,the following errors occurred:
> **hz@hz-virtual-machine:~/catkin_ws/src/object_detector_3d$ git lfs pull**
> [88484d446f0bcf…
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### Title of the resource
Cultural heritage in a virtual fantasy world
### Resource type
External Resource
### Authors, editors and contributors
Heiða Rafnsdóttir
### Topics (keywords)
Augmente…
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Pytorch geometric is a great package for geometric deep learning, focused on learning on arbitrary graphs as well as on 3D meshes or point clouds. We could think on how we can interact with it.
htt…
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### Checklist
- [X] I have searched for [similar issues](https://github.com/isl-org/Open3D/issues).
- [X] For Python issues, I have tested with the [latest development wheel](http://www.open3d.org…
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**target code 対象となるコード** 明確に分かっているならば書く
flib/libs/visualization/som/animation_learning_process_3d.py
flib/libs/visualization/som/Umatrix.py
**Is your feature request related to a problem? Please …
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[The format of the issue]
Paper name/title:
Paper link:
Code link:
amusi updated
2 weeks ago
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- [x] (Michele Andrea) jump optimization with crocoddyl for comparison
- [x] (Riccardo) RL with torques, give low reward with target distance even if TD is not achieved to encourage moving toward tar…
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