Trending Research

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.


4.01 stars / hour


PaddlePaddle/PaddleNLP IJCNLP 2019

An NLP library with Awesome pre-trained Transformer models and easy-to-use interface, supporting wide-range of NLP tasks from research to industrial applications.

Clustering Semantic Similarity +3

2.63 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.


1.45 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

1.14 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

1.13 stars / hour

Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning

OATML/Non-Parametric-Transformers 4 Jun 2021

We challenge a common assumption underlying most supervised deep learning: that a model makes a prediction depending only on its parameters and the features of a single input.

3D Part Segmentation

1.11 stars / hour

FastSeq: Make Sequence Generation Faster

microsoft/fastseq 8 Jun 2021

Transformer-based models have made tremendous impacts in natural language generation.

Text Generation

0.92 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

0.78 stars / hour

With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations

lightly-ai/lightly 29 Apr 2021

On semi-supervised learning benchmarks we improve performance significantly when only 1% ImageNet labels are available, from 53. 8% to 56. 5%.

Fine-Grained Image Classification Self-Supervised Image Classification +3

0.57 stars / hour

Decision Transformer: Reinforcement Learning via Sequence Modeling

kzl/decision-transformer 2 Jun 2021

In particular, we present Decision Transformer, an architecture that casts the problem of RL as conditional sequence modeling.

Atari Games Language Modelling +2

0.53 stars / hour