Trending Research

SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers

NVlabs/SegFormer 31 May 2021

We present SegFormer, a simple, efficient yet powerful semantic segmentation framework which unifies Transformers with lightweight multilayer perception (MLP) decoders.

Semantic Segmentation

101
1.83 stars / hour

GANs N' Roses: Stable, Controllable, Diverse Image to Image Translation (works for videos too!)

mchong6/GANsNRoses 11 Jun 2021

This adversarial loss guarantees the map is diverse -- a very wide range of anime can be produced from a single content code.

Image-to-Image Translation

57
1.75 stars / hour

Plan2Scene: Converting Floorplans to 3D Scenes

3dlg-hcvc/plan2scene 9 Jun 2021

We address the task of converting a floorplan and a set of associated photos of a residence into a textured 3D mesh model, a task which we call Plan2Scene.

Plan2Scene

217
1.69 stars / hour

DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning

kwai/DouZero 11 Jun 2021

Games are abstractions of the real world, where artificial agents learn to compete and cooperate with other agents.

38
1.32 stars / hour

SimSwap: An Efficient Framework For High Fidelity Face Swapping

neuralchen/SimSwap 11 Jun 2021

In contrast to previous approaches that either lack the ability to generalize to arbitrary identity or fail to preserve attributes like facial expression and gaze direction, our framework is capable of transferring the identity of an arbitrary source face into an arbitrary target face while preserving the attributes of the target face.

Face Swapping

165
1.20 stars / hour

Rethinking the Implementation Matters in Cooperative Multi-Agent Reinforcement Learning

hijkzzz/pymarl2 6 Feb 2021

Multi-Agent Reinforcement Learning (MARL) has seen revolutionary breakthroughs with its successful application to multi-agent cooperative tasks such as computer games and robot swarms.

SMAC Starcraft

156
0.83 stars / hour

XBNet : An Extremely Boosted Neural Network

tusharsarkar3/XBNet 9 Jun 2021

Neural networks have proved to be very robust at processing unstructured data like images, text, videos, and audio.

Classification

80
0.78 stars / hour

SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

somepago/saint 2 Jun 2021

We devise a hybrid deep learning approach to solving tabular data problems.

Fraud Detection

66
0.75 stars / hour

Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation

hkchengrex/STCN 9 Jun 2021

This paper presents a simple yet effective approach to modeling space-time correspondences in the context of video object segmentation.

Semantic Segmentation Semi-Supervised Video Object Segmentation +1

85
0.70 stars / hour

EPSANet: An Efficient Pyramid Split Attention Block on Convolutional Neural Network

xmu-xiaoma666/External-Attention-pytorch 30 May 2021

Recently, it has been demonstrated that the performance of a deep convolutional neural network can be effectively improved by embedding an attention module into it.

Image Classification Instance Segmentation +2

289
0.68 stars / hour