Abstract: Aiming at the challenges of high intra-class disparity and low inter-class disparity in fine-grained image classification, a multi-branch fine-grained image classification method based on ...
Abstract: The increasing scale and complexity of remote sensing (RS) observations demand distributed processing to effectively manage the vast volumes of data generated. However, distributed ...
Both values suggested that the model was able to achieve our objective. Using our approach, we identified that dissatisfaction is highest for sex-related diseases and lowest for circulatory diseases ...
Dự án này tập trung vào bài toán phân loại thể loại nhạc (Music Genre Classification) dựa trên dữ liệu âm thanh. Mục tiêu là xây dựng và so sánh nhiều mô hình Machine Learning và Deep Learning nhằm ...
90% accuracy resnet-like CNN from scratch for Intel Image Classification dataset WITHOUT transfer learning and with complex metrics.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback