Fishyscapes
Introduced by Blum et al. in The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation
Fishyscapes is a public benchmark for uncertainty estimation in a real-world task of semantic segmentation for urban driving. It evaluates pixel-wise uncertainty estimates towards the detection of anomalous objects in front of the vehicle.
Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
|---|---|---|---|---|---|
|
Fishyscapes L&F
|
cDNP+OE
|
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|
Fishyscapes
|
RPL+CoroCL
|
Papers
| Paper | Code | Results | Date | Stars |
|---|
