2D Semantic Segmentation task 1 (8 classes)
2 papers with code • 1 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in 2D Semantic Segmentation task 1 (8 classes)
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
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CaDIS
Most implemented papers
Effective semantic segmentation in Cataract Surgery: What matters most?
rvimlab/miccai2021_cataract_semantic_segmentation
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Our work proposes neural network design choices that set the state-of-the-art on a challenging public benchmark on cataract surgery, CaDIS.
ATISS: Autoregressive Transformers for Indoor Scene Synthesis
nv-tlabs/atiss
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NeurIPS 2021
The ability to synthesize realistic and diverse indoor furniture layouts automatically or based on partial input, unlocks many applications, from better interactive 3D tools to data synthesis for training and simulation.
