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Update README.md
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lmur98 authored Jan 9, 2023
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Expand Up @@ -68,5 +68,11 @@ Cuttable and driable
*Note*: the files in the *2D_output_labels* directories only contain the pixel points with the affordances and its semantic labels. When you run data.py, in the dataloader we incorporate a function to obtain the Gaussian heatmaps in an efficient way. This avoids to load the *N* masks.

## Baselines
We face to a multi-label segmentation problem, where each pixel can correspond to multiple affordances. Precisely, this is the pure conception of the affordances concept, that represents *all* the possible actions. We implemented different baselines, which are extensions of popular single-label semantic segmentation datasets.
1. U-Net
2. Deep-Lab v3
3. Mask-RCNN
4. Img2heatmap

## Our model

We implemented different baselines, which are extensions of popular semantic segmentation datasets.

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