We introduce a robust, real-time, high-resolution human video matting method that achieves new state-of-the-art performance.
Ranked #1 on Video Matting on VideoMatte240K
We introduce Merlion, an open-source machine learning library for time series.
Generative Adversarial Networks (GANs) can generate near photo realistic images in narrow domains such as human faces.
Ranked #1 on Unconditional Image Generation on ImageNet 128x128
It is the result from the merger of the two most popular packages for stream learning in Python: Creme and scikit-multiflow.
Recently, segmentation-based methods are quite popular in scene text detection, as the segmentation results can more accurately describe scene text of various shapes such as curve text.
Ranked #2 on Scene Text Detection on MSRA-TD500
We even learn one multi-task policy for 10 simulated and 9 real-world tasks that is better or comparable to single-task policies.
Though many attempts have been made in blind super-resolution to restore low-resolution images with unknown and complex degradations, they are still far from addressing general real-world degraded images.
Self-supervised methods play an increasingly important role in monocular depth estimation due to their great potential and low annotation cost.