Search Results for author:
Found 2 papers, 2 papers with code
Binary Spatial Random Field Reconstruction from Non-Gaussian Inhomogeneous Time-series Observations
Firstly, we develop algorithms to perform approximate Likelihood Ratio Tests on the time-series observations, compressing them to a single bit for both point sensors and integral sensors.
Balanced Meta-Softmax for Long-Tailed Visual Recognition
In our experiments, we demonstrate that Balanced Meta-Softmax outperforms state-of-the-art long-tailed classification solutions on both visual recognition and instance segmentation tasks.
Ranked #7 on
Long-tail Learning
on CIFAR-10-LT (ρ=10)
Cannot find the paper you are looking for? You can
Submit a new open access paper.
