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Neural Networks are powerful but can they count people? Find possible architectures with a few experiments. There are already solutions to count people using object detectors to get bounding boxes and…
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### Feature description
### Description:
This issue aims to implement an Adaptive Resonance Theory (ART1) algorithm for binary data clustering. ART1 is well-suited for unsupervised learning with bin…
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+ Read slides [26v4e](https://osf.io/26v4e), [42tq9](https://osf.io/42tq9), [3ksmu](https://osf.io/3ksmu)
+ Obtain access to references given in the slide.
+ Report here with your ID and name.
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When running evaluation mode figures are being created. Currently, there is no option to output the predictions.
I would like to implement the option to output predictions as a Zarr dataset.
(WIP: h…
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[Towards self-explainable graph neural network](https://dl.acm.org/doi/abs/10.1145/3459637.3482306)
```bib
@inproceedings{dai2021towards,
title={Towards self-explainable graph neural network},
…
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[Graph neural networks with diverse spectral filtering](https://dl.acm.org/doi/abs/10.1145/3543507.3583324)
```bib
@inproceedings{guo2023graph,
title={Graph neural networks with diverse spectral …
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This feature aims to enhance the current genome encoding model by integrating an **autoencoder** to compress and encode neural network weights into a latent vector. The autoencoder will replace the di…
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Time Pressure Setup & Visual Signal:
- Define "too much" pressure: Since individual tolerance for pressure varies, it’s important to assess how much pressure participants feel during the task. Adding…
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## 레퍼런스 논문
1. Graph Clustering with Graph Neural Networks (DMoN)
- paper : [https://arxiv.org/abs/2006.16904](https://arxiv.org/abs/2006.16904)
- code : [https://github.com/google-research/go…
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Hi, thank you for sharing your work! I have a question regarding the input point cloud in deploy_neural_mp.py. In the code, the input point cloud is obtained using neural_mp.get_scene_pcd(), but the p…