Street Scene Parsing
2 papers with code • 0 benchmarks • 0 datasets
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We introduce Synscapes -- a synthetic dataset for street scene parsing created using photorealistic rendering techniques, and show state-of-the-art results for training and validation as well as new types of analysis.
Recent progress has demonstrated that such meta-learning methods may exceed scalable human-invented architectures on image classification tasks.