GitHub

[CVPR'23] A Simple Framework for Text-Supervised Semantic Segmentation

We follow the MMSegmentation Dataset Preparation to download and setup the test sets. It is recommended to arrange the dataset as the following. If your folder structure is different, you may need to ...
InfoWorld

Intro to Hotwire: HTML over the wire

This concept isn’t new—in fact, it is the essence of representational state transfer (REST). Instead of converting to a ...
GitHub

This is a simple text image super-resolution package.

This is a simple baseline (ESRGAN) trained using synthetic data from our CVPR paper MARCONet. This model is trained on Chinese and English Characters. When the degradation is not severe, it may also ...
IEEE

CLIP4STR: A Simple Baseline for Scene Text Recognition With Pre-Trained Vision-Language Model

Abstract: Pre-trained vision-language models (VLMs) are the de-facto foundation models for various downstream tasks. However, scene text recognition methods still prefer backbones pre-trained on a ...
IEEE

A Simple Framework for Text-Supervised Semantic Segmentation

Abstract: Text-supervised semantic segmentation is a novel research topic that allows semantic segments to emerge with image-text contrasting. However, pioneering methods could be subject to ...