2 citations · 4 across the 5 of their papers we have counts for
5 papers
Relational Contrastive Learning and Masked Image Modeling for Scene Text Recognition
Tiancheng Lin, Jinglei Zhang, Yi Xu +3
Context-aware methods have achieved remarkable advancements in supervised scene text recognition by leveraging semantic priors from words. Considering the heterogeneity of text and…
Relational Contrastive Learning for Scene Text Recognition
Jinglei Zhang, Tiancheng Lin, Yi Xu +2
Context-aware methods achieved great success in supervised scene text recognition via incorporating semantic priors from words. We argue that such prior contextual information can…
SepLUT: Separable Image-adaptive Lookup Tables for Real-time Image Enhancement
Canqian Yang, Meiguang Jin, Yi Xu +3
Image-adaptive lookup tables (LUTs) have achieved great success in real-time image enhancement tasks due to their high efficiency for modeling color transforms. However, they embed…
Solving The Long-Tailed Problem via Intra- and Inter-Category Balance
Renhui Zhang, Tiancheng Lin, Rui Zhang +1
Benchmark datasets for visual recognition assume that data is uniformly distributed, while real-world datasets obey long-tailed distribution. Current approaches handle the long-tai…
Self Supervised Lesion Recognition For Breast Ultrasound Diagnosis
Yuanfan Guo, Canqian Yang, Tiancheng Lin +3
Previous deep learning based Computer Aided Diagnosis (CAD) system treats multiple views of the same lesion as independent images. Since an ultrasound image only describes a partia…