Masked-attention Mask Transformer for Universal Image Segmentation

facebookresearch/Mask2Former 2 Dec 2021

While only the semantics of each task differ, current research focuses on designing specialized architectures for each task.

Instance Segmentation Panoptic Segmentation

4.78 stars / hour

HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing

yuval-alaluf/hyperstyle 30 Nov 2021

In this work, we introduce this approach into the realm of encoder-based inversion.


3.28 stars / hour

WantWords: An Open-source Online Reverse Dictionary System

thunlp/WantWords EMNLP 2020

A reverse dictionary takes descriptions of words as input and outputs words semantically matching the input descriptions.

2.35 stars / hour

OpenUE: An Open Toolkit of Universal Extraction from Text

zjunlp/openue EMNLP 2020

We introduce a prototype model and provide an open-source and extensible toolkit called OpenUE for various extraction tasks.

Event Extraction Intent Detection

1.32 stars / hour

Masked Autoencoders Are Scalable Vision Learners

pengzhiliang/MAE-pytorch 11 Nov 2021

Our MAE approach is simple: we mask random patches of the input image and reconstruct the missing pixels.

Object Detection Self-Supervised Image Classification +2

1.15 stars / hour

Projected GANs Converge Faster

autonomousvision/projected_gan NeurIPS 2021

Generative Adversarial Networks (GANs) produce high-quality images but are challenging to train.

Image Generation

1.11 stars / hour

End-to-End Referring Video Object Segmentation with Multimodal Transformers

mttr2021/MTTR 29 Nov 2021

Due to the complex nature of this multimodal task, which combines text reasoning, video understanding, instance segmentation and tracking, existing approaches typically rely on sophisticated pipelines in order to tackle it.

Referring Expression Segmentation Semantic Segmentation +3

1.07 stars / hour

The Devil is the Classifier: Investigating Long Tail Relation Classification with Decoupling Analysis

zjunlp/deepke 15 Sep 2020

Long-tailed relation classification is a challenging problem as the head classes may dominate the training phase, thereby leading to the deterioration of the tail performance.

General Classification Relation Classification

1.03 stars / hour

Score-based Generative Modeling in Latent Space

NVlabs/LSGM NeurIPS 2021

Moving from data to latent space allows us to train more expressive generative models, apply SGMs to non-continuous data, and learn smoother SGMs in a smaller space, resulting in fewer network evaluations and faster sampling.

Image Generation

1.02 stars / hour

MOTIF: A Large Malware Reference Dataset with Ground Truth Family Labels

boozallen/motif 29 Nov 2021

Malware family classification is a significant issue with public safety and research implications that has been hindered by the high cost of expert labels.

0.96 stars / hour