Robust High-Resolution Video Matting with Temporal Guidance

PeterL1n/RobustVideoMatting 25 Aug 2021

We introduce a robust, real-time, high-resolution human video matting method that achieves new state-of-the-art performance.

Video Matting

3,713
6.65 stars / hour

Merlion: A Machine Learning Library for Time Series

salesforce/merlion 20 Sep 2021

We introduce Merlion, an open-source machine learning library for time series.

Anomaly Detection Time Series

1,324
4.00 stars / hour

unilm

microsoft/unilm NAACL 2021

UniLM AI - Large-scale Self-supervised Pre-training across Tasks, Languages, and Modalities

Contrastive Learning Cross-Lingual Transfer +1

3,099
0.99 stars / hour

Pix2seq: A Language Modeling Framework for Object Detection

gaopengcuhk/Unofficial-Pix2Seq 22 Sep 2021

This paper presents Pix2Seq, a simple and generic framework for object detection.

Language Modelling Object Detection

51
0.96 stars / hour

Instance-Conditioned GAN

facebookresearch/ic_gan 10 Sep 2021

Generative Adversarial Networks (GANs) can generate near photo realistic images in narrow domains such as human faces.

Conditional Image Generation Unconditional Image Generation

361
0.94 stars / hour

River: machine learning for streaming data in Python

online-ml/river 8 Dec 2020

It is the result from the merger of the two most popular packages for stream learning in Python: Creme and scikit-multiflow.

Continual Learning

2,420
0.58 stars / hour

Real-time Scene Text Detection with Differentiable Binarization

mindee/doctr 20 Nov 2019

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.

Binarization Scene Text +1

387
0.48 stars / hour

CLIPort: What and Where Pathways for Robotic Manipulation

cliport/cliport 24 Sep 2021

We even learn one multi-task policy for 10 simulated and 9 real-world tasks that is better or comparable to single-task policies.

Imitation Learning

50
0.47 stars / hour

Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data

xinntao/Real-ESRGAN 22 Jul 2021

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.

Video Super-Resolution

3,068
0.46 stars / hour

Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation

prstrive/EPCDepth 26 Sep 2021

Self-supervised methods play an increasingly important role in monocular depth estimation due to their great potential and low annotation cost.

Data Augmentation Monocular Depth Estimation +1

27
0.42 stars / hour