3260 papers • 126 benchmarks • 313 datasets
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These leaderboards are used to track progress in few-shot-camera-adaptive-color-constancy
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Use these libraries to find few-shot-camera-adaptive-color-constancy models and implementations
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This dataset, called INTEL-TAU, contains 7022 images in total, which makes it the largest available high-resolution dataset for illumination estimation research, and is coherent with the new General Data Protection Regulation (GDPR).
It is shown that it is possible to bypass the channel estimation stage altogether and to use a deep neural network to produce a near optimal schedule based solely on geographic locations of the transmitters and receivers in the network.
Adding a benchmark result helps the community track progress.