Ladder-style DenseNet for semantic segmentation
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TensorFlow implementation of
a semantic segmentation approach
which leverages ladder-style lateral connections
to blend spatial resolution from the early layers
with semantic expressiveness from the deep layers
of a modified DenseNet architecture
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Coming soon!
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Scale invariant semantic segmentation
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this is a Torch implementation of an approach
which recovers a scale invariant convolutional representation
by leveraging stereo reconstruction
to decouple appearance from scale
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Annotator
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This our semantic annotator, a tool
for recovering semantic segmentation groundtruth
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we used the tool to annotate
300 hand-picked images from KITTI
(the iamges are available
here).
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