WebDeveloper Name: Hikvision Research Institute Algorithm Name: hik_001 Algorithm Type: 1:1 Verification Date of Algorithm Submission: 2024_03_01 Date of Report Card …
ICME 2024 - IEEE International Conference on Multimedia and Expo
WebMay 18, 2024 · Using data generated by generative adversarial networks or three-dimensional (3D) technology for face recognition training is a theoretically reasonable solution to the problems of unbalanced data distributions and data scarcity. However, due to the modal difference between synthetic data and real data, the direct use of data for … WebDec 2, 2024 · This is the opensourced OCR repository of DAVAR Lab, from Hikvision Research Institute, China. We begin to maintain this code repository to release the … cips in rwanda
A Free Lunch for Unsupervised Domain Adaptive Object Detection without …
WebTable structure recognition is a challenging task due to the various structures and complicated cell spanning relations. Previous methods handled the problem starting from elements in different granularities (rows/columns, text regions), which somehow fell into the issues like lossy heuristic rules or neglect of empty cell division. [email protected] Hikvision Research Institute & Zhejiang University Hangzhou, China Wenming Tan [email protected] Hikvision Research Institute Hangzhou, China Jun Xiao [email protected] Zhejiang University Hangzhou, China Shiliang Pu∗ [email protected] Hikvision Research Institute Hangzhou, China ABSTRACT Web2Hikvision Research Institute, Hangzhou, China {chengzhanzhan, pushiliang.hri}@hikvision.com Abstract Existing semi-supervised learning (SSL) studies typically assume that unlabeled and test data are drawn from the same distribution as labeled data. However, in many real-world applications, it is desirable to have SSL … dialysis pct travel agencies