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Ef-QuantFace: Streamlined Face Recognition with Small Data and Low-Bit Precision
Moreover, we incorporate an evaluation-based metric loss and achieve an outstanding 96. 15% accuracy on the IJB-C dataset, establishing a new state-of-the-art compressed model training for face recognition.
On Manipulating Scene Text in the Wild with Diffusion Models
In experiments, we thoroughly assess and compare our proposed method against state-of-the-arts on various scene text datasets, then provide extensive ablation studies for each granularity to analyze our performance gain.
Optical Character Recognition
Optical Character Recognition (OCR)
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