Abstract: Nuclear atypia scoring is a diagnostic measure commonly used to assess tumor grade of various cancers, including breast cancer. It provides a quantitative measure of deviation in visual ...
Paper: Large-Scale Topological Radar Localization Using Learned Descriptors accepted for 2021 International Conference on Neural Information Processing (ICONIP) arXiv This work proposes a method for ...
Sales of cigars using the “natural” descriptor are increasing, according to Rutgers researchers. “Sales of cigars with a ‘natural’ descriptor are both prominent and growing,” said Ollie Ganz, an ...
This is the open-source codebase for "A Self-Supervised Descriptor for Image Copy Detection", recently accepted to CVPR 2022. This work uses self-supervised contrastive learning with strong ...
This paper presents a novel local image descriptor that is robust to general image deformations. A limitation with traditional image descriptors is that they use a single support region for each ...
Visual search and image retrieval underpin numerous applications, however the task is still challenging predominantly due to the variability of object appearance and ever increasing size of the ...
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