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author | Frederic Becker | 2023-11-02 11:11:36 +0100 |
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committer | GitHub | 2023-11-02 11:11:36 +0100 |
commit | 83f34f0502177fe540907c592743b637325b9aba (patch) | |
tree | c2f5b6da642552db3f045f7dcfb01a8814969a19 /readme.md | |
parent | f8302ee886ef9b631f11a52900dac964a61350e1 (diff) |
Update readme.md
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-rw-r--r-- | readme.md | 9 |
1 files changed, 8 insertions, 1 deletions
@@ -3,6 +3,13 @@ <b>TL;DR:</b> Introducing Loci-Looped, an extension to Loci, with a parameterized percept gate that learns to slot-wise fuse imaginations with sensations. As a result, Loci learns to track objects through occlusions and to imagine their trajectory. See our paper for more details: [arxiv](https://arxiv.org/abs/2310.10372) + + +https://github.com/CognitiveModeling/Loci-Looped/assets/60604502/2b6d5fcf-8eeb-47db-ab26-1a9e4a3a48f0 + + + + --- ## Requirements A suitable [conda](https://conda.io/) environment named `loci-l` can be created @@ -50,4 +57,4 @@ python -m scripts.exec.train -cfg [path-to-config-file] -load [path-to-model-fil ``` ## Acknowledgements -MOT metrics are computed with py-motmetrics. The visual evaluation metrics script is borrowed from the [Slotformer](https://github.com/pairlab/SlotFormer) repository.
\ No newline at end of file +MOT metrics are computed with py-motmetrics. The visual evaluation metrics script is borrowed from the [Slotformer](https://github.com/pairlab/SlotFormer) repository. |