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Antoine1091 nielsr HF Staff commited on
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Add pipeline tag and paper link (#1)

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- Add pipeline tag and paper link (412f6656f9832e1222a14e3816db3e5cd7799c05)


Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>

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  1. README.md +8 -5
README.md CHANGED
@@ -1,17 +1,20 @@
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  ---
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- license: mit
 
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  datasets:
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  - heig-vd-geo/GridNet-HD
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  language:
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  - en
 
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  metrics:
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  - mean_iou
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- base_model:
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- - custom/SimpleMLP
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  ---
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  # GridNet-HD Baseline: Late Fusion MLP on Dual Softmax Outputs
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  ## Overview
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  This repository provides an implementation of a simple Multi-Layer Perceptron (MLP) baseline on the task of late fusing two LiDAR softmax outputs. Before using this baseline, results from the 2 other baselines are required. This repository includes:
@@ -145,7 +148,7 @@ After preprocessing:
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  1. **Clone the repository**:
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  ```bash
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- git clone https://github.com/your-org/baseline_fusion_mlp.git
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  cd baseline_fusion_mlp
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  ```
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@@ -263,4 +266,4 @@ If you use this repo in research, please cite:
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  eprint={2601.13052},
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  url={https://arxiv.org/abs/2601.13052},
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  }
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- ```
 
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  ---
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+ base_model:
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+ - custom/SimpleMLP
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  datasets:
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  - heig-vd-geo/GridNet-HD
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  language:
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  - en
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+ license: mit
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  metrics:
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  - mean_iou
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+ pipeline_tag: other
 
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  ---
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  # GridNet-HD Baseline: Late Fusion MLP on Dual Softmax Outputs
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+ This repository provides an implementation of a simple Multi-Layer Perceptron (MLP) baseline on the task of late fusing two LiDAR softmax outputs, as presented in the paper [GridNet-HD: A High-Resolution Multi-Modal Dataset for LiDAR-Image Fusion on Power Line Infrastructure](https://huggingface.co/papers/2601.13052).
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+
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  ## Overview
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  This repository provides an implementation of a simple Multi-Layer Perceptron (MLP) baseline on the task of late fusing two LiDAR softmax outputs. Before using this baseline, results from the 2 other baselines are required. This repository includes:
 
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  1. **Clone the repository**:
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  ```bash
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+ git clone https://github.com/heig-vd-geo/baseline_fusion_mlp.git
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  cd baseline_fusion_mlp
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  ```
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  eprint={2601.13052},
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  url={https://arxiv.org/abs/2601.13052},
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  }
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+ ```