GitHub

DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting

Created by Yongming Rao*, Wenliang Zhao*, Guangyi Chen, Yansong Tang, Zheng Zhu, Guan Huang, Jie Zhou, and Jiwen Lu. This repository contains PyTorch implementation for DenseCLIP (CVPR 2022).
IEEE

Turning a CLIP Model Into a Scene Text Spotter

Abstract: We exploit the potential of the large-scale Contrastive Language-Image Pretraining (CLIP) model to enhance scene text detection and spotting tasks, transforming it into a robust backbone, ...
GitHub

Spring Versions Mapping

This wiki is to help you find the corresponding Spring Cloud Azure version and its support status with the given Spring Boot / Spring Cloud version. 2.4.x 2020.0.x 3.14.0 1.1.1 2.3.x Hoxton 3.2.0 ...
IEEE

HieClip: Hierarchical CLIP with Explicit Alignment for Zero-Shot Anomaly Detection

Abstract: Large image-language models(LLM) have made significant progress in zero-shot anomaly detection(ZSAD), however, the semantic gap between images and text ...