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- review-articleFebruary 2024
Traffic sign detection in unconstrained environment using improved YOLOv4
Expert Systems with Applications: An International Journal (EXWA), Volume 238, Issue PAhttps://doi.org/10.1016/j.eswa.2023.121836AbstractTraffic sign detection and recognition in an unconstrained environment is a challenging task for autonomous vehicle operations. The small traffic signs in the captured image make this problem harder. Furthermore, detecting and recognizing these ...
Highlights- We have presented a model based on YOLOv4 for Traffic Sign Detection and Recognition.
- Path Aggregation Network of YOLOv4 model is improved for better feature propagation.
- We have used grouped convolutional layers to reduce the ...
- research-articleJune 2021
Pinball Loss Twin Support Vector Clustering
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Volume 17, Issue 2sArticle No.: 63, Pages 1–23https://doi.org/10.1145/3409264Twin Support Vector Clustering (TWSVC) is a clustering algorithm inspired by the principles of Twin Support Vector Machine (TWSVM). TWSVC has already outperformed other traditional plane based clustering algorithms. However, TWSVC uses hinge loss, which ...