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An enhanced Swin Transformer for soccer player reidentification | Scientific Reports
Nature
The re-identification (ReID) of objects in images is a widely studied topic in computer vision, with significant relevance to various...
4 months ago
Unsupervised domain adaptation pedestrian re-identification based on an improved dissimilarity space
ScienceDirect.com
Pedestrian re-identification is a key and challenging research topic in intelligent security applications. Because of the need for large-scale manual...
29 months ago
Researchers At Fujitsu Use Deep Learning To Develop A Person Re-Identification (ReID) Method (ECANet) That Incorporates Obtained Pair Images Without The ID Labels Into The Training Data
MarkTechPost
Researchers At Fujitsu Use Deep Learning To Develop A Person Re-Identification (ReID) Method (ECANet) That Incorporates Obtained Pair Images...
19 months ago
A Comprehensive Hands-on Guide to Transfer Learning with Real-World Applications in Deep Learning
Towards Data Science
Humans have an inherent ability to transfer knowledge across tasks. What we acquire as knowledge while learning about one task,...
66 months ago
A large language model for electronic health records | npj Digital Medicine
Nature
There is an increasing interest in developing artificial intelligence (AI) systems to process and interpret electronic health records (EHRs)...
17 months ago
Document Embedding Techniques. A review of notable literature on the… | by Shay Palachy Affek
Towards Data Science
Word embedding — the mapping of words into numerical vector spaces — has proved to be an incredibly important method for natural language...
56 months ago