Trending Research

Background Matting: The World is Your Green Screen

1 Apr 2020senguptaumd/Background-Matting

To bridge the domain gap to real imagery with no labeling, we train another matting network guided by the first network and by a discriminator that judges the quality of composites.

317
3.02 stars / hour

Tracking Objects as Points

2 Apr 2020xingyizhou/CenterTrack

Nowadays, tracking is dominated by pipelines that perform object detection followed by temporal association, also known as tracking-by-detection.

OBJECT DETECTION

303
1.95 stars / hour

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

30 Mar 2020UCSD-AI4H/COVID-CT

CT scans are promising in providing accurate, fast, and cheap screening and testing of COVID-19.

221
1.33 stars / hour

First Order Motion Model for Image Animation

NeurIPS 2019 AliaksandrSiarohin/first-order-model

To achieve this, we decouple appearance and motion information using a self-supervised formulation.

3D DEPTH ESTIMATION IMAGE ANIMATION VIDEO RECONSTRUCTION

2,192
0.98 stars / hour

Proximal Policy Optimization Algorithms

20 Jul 2017wangshub/RL-Stock

We propose a new family of policy gradient methods for reinforcement learning, which alternate between sampling data through interaction with the environment, and optimizing a "surrogate" objective function using stochastic gradient ascent.

DOTA 2 POLICY GRADIENT METHODS

1,042
0.74 stars / hour

pycls

30 Mar 2020facebookresearch/pycls

Codebase for Image Classification Research, written in PyTorch.

IMAGE CLASSIFICATION

793
0.74 stars / hour

Asynchronous Methods for Deep Reinforcement Learning

4 Feb 2016marload/deep-rl-tf2

We propose a conceptually simple and lightweight framework for deep reinforcement learning that uses asynchronous gradient descent for optimization of deep neural network controllers.

ATARI GAMES

98
0.71 stars / hour

Deep Recurrent Q-Learning for Partially Observable MDPs

23 Jul 2015marload/deep-rl-tf2

Deep Reinforcement Learning has yielded proficient controllers for complex tasks.

ATARI GAMES Q-LEARNING

98
0.71 stars / hour

Playing Atari with Deep Reinforcement Learning

19 Dec 2013marload/deep-rl-tf2

We present the first deep learning model to successfully learn control policies directly from high-dimensional sensory input using reinforcement learning.

ATARI GAMES Q-LEARNING

98
0.71 stars / hour

Weight Uncertainty in Neural Networks

20 May 2015piEsposito/blitz-bayesian-deep-learning

We introduce a new, efficient, principled and backpropagation-compatible algorithm for learning a probability distribution on the weights of a neural network, called Bayes by Backprop.

BAYESIAN INFERENCE

21
0.59 stars / hour