Retrieve radiology text describing correctly vs incorrectly labeled cases Generate hypotheses like “missing calcifications in high-density tissue” Use those to ...
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).
Abstract: Few-shot object detection (FSOD) has been proposed to solve the problem of insufficient data for training, and it has drawn the attention of the remote sensing community in recent years. A ...
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, ...
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