ByteTrack: Multi-Object Tracking by Associating Every Detection Box

ifzhang/ByteTrack arXiv 2021

Multi-object tracking (MOT) aims at estimating bounding boxes and identities of objects in videos.

 Ranked #1 on Multi-Object Tracking on MOT17 (using extra training data)

Multi-Object Tracking

546
3.02 stars / hour

Alias-Free Generative Adversarial Networks

NVlabs/stylegan3 23 Jun 2021

We observe that despite their hierarchical convolutional nature, the synthesis process of typical generative adversarial networks depends on absolute pixel coordinates in an unhealthy manner.

Image Generation

2,413
2.38 stars / hour

ADOP: Approximate Differentiable One-Pixel Point Rendering

darglein/ADOP 13 Oct 2021

The input are an initial estimate of the point cloud and the camera parameters.

Neural Rendering Novel View Synthesis

316
2.16 stars / hour

Lenia and Expanded Universe

Chakazul/Lenia 7 May 2020

We report experimental extensions of Lenia, a continuous cellular automata family capable of producing lifelike self-organizing autonomous patterns.

Artificial Life

2,490
1.81 stars / hour

Resolution-robust Large Mask Inpainting with Fourier Convolutions

saic-mdal/lama 15 Sep 2021

We find that one of the main reasons for that is the lack of an effective receptive field in both the inpainting network and the loss function.

Image Inpainting LAMA

279
0.97 stars / hour

Graph Neural Networks with Learnable Structural and Positional Representations

vijaydwivedi75/gnn-lspe 15 Oct 2021

An approach to tackle this issue is to introduce Positional Encoding (PE) of nodes, and inject it into the input layer, like in Transformers.

Knowledge Graphs Recommendation Systems

19
0.75 stars / hour

lambeq: An Efficient High-Level Python Library for Quantum NLP

cqcl/lambeq 8 Oct 2021

We present lambeq, the first high-level Python library for Quantum Natural Language Processing (QNLP).

Tensor Networks

116
0.74 stars / hour

Object DGCNN: 3D Object Detection using Dynamic Graphs

wangyueft/detr3d 13 Oct 2021

Our method models 3D object detection as message passing on a dynamic graph, generalizing the DGCNN framework to predict a set of objects.

2D Object Detection 3D Object Detection +2

81
0.64 stars / hour

P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks

thudm/p-tuning-v2 14 Oct 2021

Prompt tuning, which only tunes continuous prompts with a frozen language model, substantially reduces per-task storage and memory usage at training.

Language Modelling

47
0.55 stars / hour

PaddleNLP

PaddlePaddle/PaddleNLP NeurIPS 2020

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.

Natural Language Understanding

2,152
0.54 stars / hour