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

471
3.30 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

2,322
3.26 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

2,410
2.14 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

197
1.88 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

112
0.93 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

228
0.88 stars / hour

Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data

xinntao/Real-ESRGAN 22 Jul 2021

Though many attempts have been made in blind super-resolution to restore low-resolution images with unknown and complex degradations, they are still far from addressing general real-world degraded images.

Video Super-Resolution

5,340
0.72 stars / hour

Evaluating Predictive Distributions: Does Bayesian Deep Learning Work?

deepmind/neural_testbed 9 Oct 2021

This paper introduces \textit{The Neural Testbed}, which provides tools for the systematic evaluation of agents that generate such predictions.

120
0.70 stars / hour

PaddleNLP

PaddlePaddle/PaddleNLP ACL 2021

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.

Contrastive Learning Cross-Modal Retrieval

2,140
0.69 stars / hour
5,103
0.62 stars / hour