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README.md
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@@ -183,14 +183,13 @@ The following illustration gives the resulting confusion matrix :
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### Results
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* (1) WATER & BRIDGE
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* (2) BUILD_GREENHOUSE
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* (3) OTHER_PARKING
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* (4) HIGHSLOPE1
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* (5) URBAN
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---
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@@ -200,12 +199,15 @@ From test patches with at least 10k points (i.e. at least 4 pts/m²), we sample
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**BibTeX:**
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```
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```
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### Results
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From test patches with at least 10k points (i.e. at least 4 pts/m²), we sample without cherry-picking,
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to match matches with the following metadata: a) URBAN, b) WATER & BRIDGE, c) OTHER_PARKING, d) BUILD_GREENHOUSE, e) HIGHSLOPE.
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<div style="position: relative; text-align: center;">
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<p style="margin: 0;">Input point cloud, target classification, and model prediction for a subset of patches from the test set of FRACTAL.</p>
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<img src="FRACTAL-LidarHD_7cl_randlanet-sample_predictions.excalidraw.png" alt="Sample input pc, target, and predictions" style="width: 70%; display: block; margin: 0 auto;"/>
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</div>
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---
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**BibTeX:**
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```
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@misc{gaydon2024pureforest,
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title={TBD},
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author={Charles Gaydon and Michel Daab and Floryne Roche},
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year={2024},
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eprint={TBD},
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archivePrefix={arXiv},
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url={TBD}
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primaryClass={cs.CV}
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}
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```
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