3260 papers • 126 benchmarks • 313 datasets
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These leaderboards are used to track progress in respiratory-rate-estimation-4
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Use these libraries to find respiratory-rate-estimation-4 models and implementations
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This work develops a deep-learning method for estimating respiratory rate and waveform from plain video footage in natural settings and supports the first public annotated infant respiration dataset with 125 videos, drawn from eight infant subjects.
Adding a benchmark result helps the community track progress.