3260 papers • 126 benchmarks • 313 datasets
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These leaderboards are used to track progress in few-shot-camera-adaptive-color-constancy-9
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Use these libraries to find few-shot-camera-adaptive-color-constancy-9 models and implementations
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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.
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).
Adding a benchmark result helps the community track progress.