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Rabab Abdelfattah

2 accepted papers

2023

CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification

ICCV 2023poster

This paper presents a CLIP-based unsupervised learning method for annotation-free multi-label image classification, including three stages: initialization, training, and inference. At the initialization stage, we take full advantage of the powerful CLIP model and propose a novel approach to extend C…

Cited by 47PDFScholar
2023

Leveraging Inpainting for Single-Image Shadow Removal

ICCV 2023poster

Fully-supervised shadow removal methods achieve the best restoration qualities on public datasets but still generate some shadow remnants. One of the reasons is the lack of large-scale shadow & shadow-free image pairs. Unsupervised methods can alleviate the issue but their restoration qualities are…

Cited by 28PDFcodeScholar