affnet
Text2Poster-ICASSP-22
Our great sponsors
| affnet | Text2Poster-ICASSP-22 | |
|---|---|---|
| 1 | 1 | |
| 261 | 191 | |
| - | - | |
| 0.0 | 4.1 | |
| almost 2 years ago | 4 months ago | |
| Python | Python | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
affnet
-
Determine whether an image, from a given sequence of images, has changed considerably
Maybe you can try using an object detector, with the classes you are interested in and then processing the detections with another network to say if the objects are the same or not. Maybe you can try things like https://github.com/ducha-aiki/affnet
Text2Poster-ICASSP-22
-
A New AI Framework Called Text2Poster Automatically Generates Visually-Effective Posters From The Textual Information
Quick Read: https://www.marktechpost.com/2023/01/25/a-new-ai-framework-called-text2poster-automatically-generates-visually-effective-posters-from-the-textual-information/ Paper: https://arxiv.org/pdf/2301.02363.pdf Github: https://github.com/chuhaojin/Text2Poster-ICASSP-22
What are some alternatives?
hardnet - Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"
pytorch-metric-learning - The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
pytorch-toolbelt - PyTorch extensions for fast R&D prototyping and Kaggle farming
GTSRB - Convolutional Neural Network for German Traffic Sign Recognition Benchmark
chitra - A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Machine-Learning-Guide - Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.
PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
pytorch-a2c-ppo-acktr-gail - PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).